SAMIR Zeghlache

SAGGAI Abdelmoula

Commandes tolérantes aux défauts d'un véhicule aérien autonome

LAYADI Noureddine

Commande tolérante aux défauts de la machine asynchrone double étoiles

RAHALI Hilal

Commandes non linéaires hybrides et robustes de la machine asynchrone à double étoile « MASDE »

Ihaddadene Belkacem , Bahache Anisse

Commandes Non Linéaires d'un Véhicule Aérien

GHELLAB Mohammed Zinelaabidine

Commandes Non Linéaires Robustes Appliquées À un Hélicoptère Autonome

MOHAMED SAID Bilal , BERRABAH Salah Eddine

La Commande Non Linéaire d'une Machine Asynchrone Double Etoile (MASDE)

Mohamed said Bilal , Berrabah Salah Eddine

La commande non linéaire d'une machine asynchrone Double étoile « MASDE »

HERIZI Boubakar , MERRAH Selma

Commande par Backstepping d'un UAV Type Quadrotor

BOUROUIS Thameur Mohamed , BOUZID Abdallah Souleyman

Commande Floue Glissante d'un appareil à Vol et Atterissage Vertical

TITRAOUI Radhwane

Commande Par Mode Glissant d'un Appareil à Vol et Atterissage Vertical

AMROUCHE Azeddine

Commande par Linéarisation Entrée-Sortie d'un Appareil à Vol et Atterissage Vertical

To save the robustness of type 2 fuzzy logic control technique and to avoid the high energy consumption that represents the sliding mode control (SMC) technique control technique, without failing the performance of the system, we propose a new fault tolerant control method based on gain-scheduled sliding mode control with interval type 2 fuzzy logic (FTCGST2FSMC) applied to the hydraulic system (two tanks system) with an actuator fault. The proposed control scheme avoids a difficult modeling, due to the chatter effect of the SMC, guarantees the stability studied by Lyapunov with the robustness of the system. The gains of the control with the SMC controller are modified and changed by an adaptation with a technique based on type 2 fuzzy logic, used to improve the gains of the controller when the fault is added, the proposed FTCGST2FSMC controller has been compared with the sliding mode controller. The results obtained confirm the robustness and the performance of this method, in the presence of the actuator fault effect.

Citation

Keltoum LOUKAL , ABDERRAHMEN Bouguerra , SAMIR Zeghlache , , (2023-09-19), Fault tolerant control of two tanks system using gain-scheduled type-2 fuzzy sliding mode controller, IAES International Journal of Artificial Intelligence (IJ-AI), Vol:12, Issue:3, pages:10, IAES

This work presents a new Fault Tolerant Control approach for a doubly fed induction generator using Iterative Learning Control when the fault occurs. The goal of this research is to apply the proposed ILC controller in conjunction with vector control for doubly fed induction generator to enhance its reliability and availability under broken rotor bars. However, the performances of classical VC control are often characterized by their inability to deal with the effects of faults. To overcome these drawbacks, a combination of VC control and iterative learning control is described. The input control signal of the VC controller is gradually regulated by the ILC harmonic compensator in order to eliminate the faults effect. The improvement of this approach related to active and reactive power ripples overshoot and response time have been explained. Which active and reactive power response time have been reduced more than 84% and 87.5 % respectively. The active and reactive power overshoots have been reduced about 45% and 35% respectively. The obtained results emphasize the efficiency and the ability of the proposed FTC to enhance the power quality in faulty condition.

Citation

SAMIR Zeghlache , , (2023-08-21), A NEW IMPROVED CONTROL FOR POWER QUALITY ENHANCEMENT IN DOUBLE FED INDUCTION GENERATOR USING ITERATIVE LEARNING CONTROL, Diagnostyka, Vol:24, Issue:3, pages:1-8, PTDT

This work presents a new Fault Tolerant Control approach for a doubly fed induction generator using Iterative Learning Control when the fault occurs. The goal of this research is to apply the proposed ILC controller in conjunction with vector control for doubly fed induction generator to enhance its reliability and availability under broken rotor bars. However, the performances of classical VC control are often characterized by their inability to deal with the effects of faults. To overcome these drawbacks, a combination of VC control and iterative learning control is described. The input control signal of the VC controller is gradually regulated by the ILC harmonic compensator in order to eliminate the faults effect. The improvement of this approach related to active and reactive power ripples overshoot and response time have been explained. Which active and reactive power response time have been reduced more than 84% and 87.5 % respectively. The active and reactive power overshoots have been reduced about 45% and 35% respectively. The obtained results emphasize the efficiency and the ability of the proposed FTC to enhance the power quality in faulty condition.

Citation

HEMZA Mekki , oussama djaidja , SAMIR Zeghlache , ALI Djerioui , , (2023-08-21), A New Improved Control for Power Quality Enhancement in Double Fed Induction Generator using Iterative Learning Control, DIAGNOSTYKA, Vol:24, Issue:3, pages:1-8, Licensee Polish Society of Technical Diagnostics (Warsaw. Poland).

In this paper, an Adaptive Type-2 Fuzzy Second-order Sliding mode Control (AT2FSOSMC) is developed for Twin Rotor MIMO System (TRMS) in robust path following versus wind effects. Firstly, the dynamical modelling of the TRMS is carried out. Secondly, a hybrid type-2 fuzzy adaptive control is applied to the TRMS, Thirdly, asymptotic stability is proved by utilizing Lyapunov approach. The proposed control is introduced to the TRMS with 2 degree of freedom (DOF) configuration, where the decoupling step is not requiring. Practical results show good trajectory following capability of the developed controller in attendance of external perturbations and wind effects.

Citation

SAMIR Zeghlache , ,(2023-08-17), Nointeracting Adaptive Type 2 Fuzzy Second Order Sliding Mode Control for Helicopter Like Subject to External Perturbations,11th International Conference on Advanced Technologies ICAT-2023,Istanbul,Turkiye

To ensure the proper control of the system of doubly star induction motor (DSIM), a novel proposed scheme control using the technique sliding mode via Type-2 Fuzzy logic (T2FSMC) for to control the speed of a DSIM, to make guarantee the performance robustness and stability of the machine model. An appropriate combination of the sliding mode controller (SMC) improved by the type-2 fuzzy logic is adopted for approximate the second step discontinuous control of SMC to get better with high accuracy the robustness of the DSIM control systems and can eliminates the chattering effect. The dynamic system of the machine is modeled, simulated and validated in Simulink by MATLAB, behavior, the modeling details and the simulations results obtained are presented described in detail after.

Citation

SAMIR Zeghlache , ,(2023-07-10), Performances of Robust Sliding Mode with Type-2 Fuzzy Logic Controller for Dual Star Induction Motor,International Conference on Nonlinear Science and Complexity (ICNSC23),Istanbul,Turkye

This paper presents the fault tolerant control for a satellite (Satlan system) based on backstepping theory with actuator fault can be modeled by a step signal (additive fault). After dynamic modeling and system state modeling, we presented the technique of the backstepping control. We presented the actuator fault by augmentation in the control of this system. The proposed FTC is able to maintain acceptable performance in the control law and guarantees robustness against uncertainties and external disturbances. A comparative study is made between the proposed fault tolerance control and the PID control technique in the presence of actuator fault. The results obtained show that the proposed FTC has better robustness against actuator fault where the Satlan system operates with acceptable performance.

Citation

Keltoum LOUKAL , ABDERRAHMEN Bouguerra , SAMIR Zeghlache , ,(2023-07-10), Backstepping fault-tolerant control for a Satlan system with actuator fault,(hybrid ) International Conference on Nonlinear Science and Complexity (ICNSC23),Istanbul-Turkey

The aim of this paper is to develop a passive actuator fault-tolerant control law for a highly nonlinear hydraulic system with two reservoirs using the feedback linearization control (FLC). You start by modeling this system with state space and presenting the theory of this command. We presented the actuator fault (additive fault) by augmentation in the law control. The passive fault-tolerant control method based on feedback linearization control technique (PFTCFLC) are implemented to the two tanks system, their performance is compared with the PID control technique. The results of the study demonstrate the superior performance of the PFTCFLC technique in regulating the level of the hydraulic system, indicating its robustness and fault tolerance.

Citation

ABDERRAHMEN Bouguerra , Keltoum LOUKAL , SAMIR Zeghlache , ,(2023-07-10), Passive fault-tolerant control method based on feedback linearization control technique of two tanks system,(hybrid ) International Conference on Nonlinear Science and Complexity (ICNSC23),Istanbul-Turkey

This paper presents a combination of the proposed Sliding Mode Control and a newly developed iterative learning control technique for harmonic compensation for the fault’s effect to adjust the active and reactive power to their desired references. The classical SMC cannot deal with the effect of the faults that can achieve graceful system degradation. Indeed, when there are significant disturbances, the input control signal of the SM controller is gradually adjusted by the ILC harmonic compensator in order to reject the disruptive harmonics effectively. Simulation results are given to demonstrate the effectiveness of the suggested SMC-ILC in terms of active and reactive power responses. The obtained results illustrate that the SMC-ILC strategy is valid and capable of ensuring a ripple-free operation in the presence of faults. The proposed controller is characterized by its simple design, robustness, and efficiency, which are convincing for practical application and may be used as a solution to the current Fault Tolerant Control.

Citation

SAMIR Zeghlache , , (2023-07-07), Power Quality Enhancement in Double Fed Induction Generator Using Iterative Learning Control, PRZEGLĄD ELEKTROTECHNICZNY, Vol:99, Issue:7, pages:41-48, Oldest magazine of Polish electrician

This paper presents a combination of the proposed Sliding Mode Control and a newly developed iterative learning control technique for harmonic compensation for the fault’s effect to adjust the active and reactive power to their desired references. The classical SMC cannot deal with the effect of the faults that can achieve graceful system degradation. Indeed, when there are significant disturbances, the input control signal of the SM controller is gradually adjusted by the ILC harmonic compensator in order to reject the disruptive harmonics effectively. Simulation results are given to demonstrate the effectiveness of the suggested SMC-ILC in terms of active and reactive power responses. The obtained results illustrate that the SMC-ILC strategy is valid and capable of ensuring a ripple-free operation in the presence of faults. The proposed controller is characterized by its simple design, robustness, and efficiency, which are convincing for practical application and may be used as a solution to the current Fault Tolerant Control.

Citation

HEMZA Mekki , oussama djaidja , SAMIR Zeghlache , ALI Djerioui , , (2023-07-01), Power Quality Enhancement in Double Fed Induction Generator Using Iterative Learning Control, PRZEGLĄD ELEKTROTECHNICZNY, Vol:99, Issue:7, pages:41-48, PRZEGLĄD ELEKTROTECHNICZNY, ISSN 0033-2097

In this paper, a Robust Adaptive Fuzzy Backstepping Control (RAFBC) is applied to electromechanical system which called Twin Rotor Multi Input Multi Output System (TRMS) in order to follow the desired trajectory. This strategy yields robustness to various kinds of uncertainties and guaranteed stability of the closed-loop control system. The adaptive laws have been used in order to ameliorate the robustness against uncertainties, wind effects and external disturbances. The stability of system in the closed-loop has been demonstrated using Lyapunov method. In the control design, type 2 fuzzy logic systems are used to approximate the unknown functions. Hybrid adaptive robust tracking control schemes that are based upon a combination of bounds of type 2 fuzzy approximation parameters and the backstepping design are developed such that all the states and signals are bounded and the proposed approach alleviate the online computation burden and improves the robustness to dynamic uncertainties and external disturbances. In addition, the coupling effects between the horizontal and vertical subsystems of TRMS are considered as uncertainties. Thus, precise trajectory tracking is maintained under various operational conditions with the presence of various types of uncertainties. Unlike other controllers, the proposed control algorithm can estimate model uncertainties online and improve the robustness of the system. Experimental tests were carried out and the results demonstrate that the proposed algorithm performs well in tracking and under model uncertainties.

Citation

SAMIR Zeghlache , , (2023-06-01), Robust Adaptive Fuzzy Backstepping Control for 2-DOF Laboratory Helicopter System with Improved Tracking Performance, International Review of Automatic Control, Vol:16, Issue:2, pages:76-91, Praise Worthy Prize

Operation at low speed and high torque can lead to the generation of strong ripples in the speed, which can deteriorate the system. To reduce the speed oscillations when operating a five-phase asynchronous motor at low speed, in this article, we propose a control method based on Gray Wolf optimization (GWO) algorithms to adjust the parameters of proportional–integral (PI) controllers. Proportional–integral controllers are commonly used in control systems to regulate the speed and current of a motor. The controller parameters, such as the integral gain and proportional gain, can be adjusted to improve the control performance. Specifically, reducing the integral gain can help reduce the oscillations at low speeds. The proportional–integral controller is insensitive to parametric variations; however, when we employ a GWO optimization strategy based on PI controller parameters, and when we choose gains wisely, the system becomes more reliable. The obtained results show that the hybrid control of the five-phase induction motor (IM) offers high performance in the permanent and transient states. In addition, with this proposed strategy controller, disturbances do not affect motor performance

Citation

HEMZA Mekki , Malika FODIL , ALI Djerioui , Mohamed Ladjal , FOUAD Berrabah , SAMIR Zeghlache , Azeddine Houari, Mohamed Fouad Benkhoris, , (2023-05-22), Optimization of PI Controller Parameters by GWO Algorithm for Five-Phase Asynchronous Motor, Energies, Vol:16, Issue:10, pages:1-14, Licensee MDPI, Basel, Switzerland.

Operation at low speed and high torque can lead to the generation of strong ripples in the speed, which can deteriorate the system. To reduce the speed oscillations when operating a five-phase asynchronous motor at low speed, in this article, we propose a control method based on Gray Wolf optimization (GWO) algorithms to adjust the parameters of proportional–integral (PI) controllers. Proportional–integral controllers are commonly used in control systems to regulate the speed and current of a motor. The controller parameters, such as the integral gain and proportional gain, can be adjusted to improve the control performance. Specifically, reducing the integral gain can help reduce the oscillations at low speeds. The proportional–integral controller is insensitive to parametric variations; however, when we employ a GWO optimization strategy based on PI controller parameters, and when we choose gains wisely, the system becomes more reliable. The obtained results show that the hybrid control of the five-phase induction motor (IM) offers high performance in the permanent and transient states. In addition, with this proposed strategy controller, disturbances do not affect motor performance.

Citation

SAMIR Zeghlache , , (2023-04-16), Optimization of PI Controller Parameters by GWO Algorithm for Five-Phase Asynchronous Motor, Energies, Vol:16, Issue:10, pages:1-14, MDPI

Bald eagle search algorithm (BES) is a recent metaheuristic algorithm based on bald eagle hunting behavior. Like other metaheuristic algorithms, the BES algorithm is prone to entangle in local optimums due to limited diversity, sluggish convergence rate, or improper equilibrium between exploitation and exploration. Thus, adaptive parameters are injected into the original BES to overcome these shortcomings. These parameters are a function of the current and the max number of iterations. They provide the eagle with more diversity during the exploration and exploitation phases. The modified BES is tested on test functions provided by Congress on Evolutionary Computation 2020 and Congress on Evolutionary Computation 2022. The obtained results are compared to that of other reliable and recent algorithms. In addition, analysis of variance and Tuckey tests are utilized to confirm the results’ significance. Due to its benefits, lithium-ion batteries are employed in more and more applications. However, extracting its parameters is challenging due to its complex model. Hence, the proposed algorithm will handle this task to approve its performance in complex problems. The significant benefit of this extraction method is its excellent precision, with fitness value declining (root mean square error) to 0.89 × 10−3 compared to the original BES (1.013 × 10−3) with a standard deviation of 1.12 × 10−3. To confirm the performance of mBES, a second battery was tested with the New European Driving Cycle profile. The mBES has the lowest fitness values (0.058896) and the least standard deviation (5.89 × 10−7).

Citation

SAMIR Zeghlache , , (2023), Modified bald eagle search algorithm for lithium-ion battery model parameters extraction, ISA Transactions, Vol:134, Issue:1, pages:1-21, Elsevier

In big solar plants where the use of a single inverter is neither economically or technically feasible, parallel linked photovoltaic inverters are necessary. For parallel-connected operation, the most significant issue is that even a slight variation in the output voltages of particular inverters results flow of circulating currents. A high level of circulation current causes inverter power losses to increase, which lowers the system's overall performance by decreasing its efficiency. In this paper, a novel simple and effective controller for parallel-connected inverters is proposed to ovoid the circulating currents among the inverters. Convergence efficiency and low computational cost of the suggested controller based on integral backstepping method are the primary motivations of this work. The simulation and experimental findings show that the suggested control system achieves the required power quality and reduces circulation current under various loading situations.

Citation

SAMIR Zeghlache , ALI Djerioui , Soumia Kerrouche, Azeddine Houari, Abdelhakim Saim, Mohamed Fouad Benkhoris, , (2023), Integral backstepping-ILC controller for suppressing circulating currents in parallel-connected photovoltaic inverters, Simulation Modelling Practice and Theory, Vol:123, Issue:2, pages:1-20, Elsevier

In this work, the adaptive fuzzy fast terminal sliding mode control (AFFTSMC) is used to create a robust fault-tolerant control system for the care and swing-up control problem of the inverted pendulum-cart system is developed in the presence of actuator faults and external disturbances. The proposed controller has the benefit of the fast terminal sliding mode control (FTSMC) method to guarantee faults and uncertainties compensation, small tracking error, chattering phenomenon reduction, and fast transient response. To compensate for the uncertainties and actuator faults effects that can happen in practical tasks of an inverted pendulum-cart system, a new adaptive FTSMC method is proposed, where the prior knowledge of external perturbation and uncertainties is not required. In addition, the developed controller reduces the chattering phenomenon without disappearing the tracking precision and robustness property. Stability demonstration has been effectuated utilizing Lyapunov method. Practical results prove the efficiency of the suggested control algorithm.

Citation

SAMIR Zeghlache , MOHAMMED ZINELAABIDINE GHELLAB , ALI Djerioui , Mohamed Fouad Benkhoris, , (2023), Adaptive fuzzy fast terminal sliding mode control for inverted pendulum-cart system with actuator faults, Mathematics and Computers in Simulation, Vol:209, Issue:4, pages:1-30, Elsevier

FTC design based on projection approach applied to DFIG

Citation

HEMZA Mekki , SAMIR Zeghlache , ALI Djerioui , ossama.djaidja@univ-msila.dz, ,(2022), FTC design based on projection approach applied to DFIG,4th IEEE International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM),Tunis, Tunisia

In this article, an adaptive fuzzy control (AFC) is synthesized to stabilize the twin rotor multi-input multi-output system (TRMS), to impose then its beam to follow accurately a desired signal or to reach reference positions in 2 DOF. The stability system in the closed-loop has been proved using Lyapunov method, in which all adaptive laws have been generated in order to improve the robustness versus wind gusts, external disturbances, and uncertainties. In addition, the developed control method does not require to decouple the TRMS into main and tail subsystems. Experimental implementation shows the capability of the developed control algorithm.

Citation

SAMIR Zeghlache , , (2022), Twin Rotor MIMO System Experimental Validation of Robust Adaptive Fuzzy Control Against Wind Effects, IEEE SYSTEMS JOURNAL, Vol:16, Issue:1, pages:409-419, IEEE

This paper presents an active fault tolerant control (FTC) strategy based on the estimated fault information for a double star induction machine (DSIM) to compensate for faults effects and thus improve the reliability and availability of the machine. The DSIM is powered by two three-phase voltage source inverters (VSI) using pulse width modulation (PWM). A defective dynamic model of DSIM in the rotating synchronous d-q frame with a fieldoriented control strategy is developed. The proposed FTC design is based on a backstepping control (BSC) using a nonlinear Thau observer with an adaptive fault estimation law. The Thau observer is used for fault detection and fault reconstruction at the same time. After that, the estimation value of the faults effect is introduced directly into the control law in order to guarantee the stability of the machine in post fault. The sufficient condition for the stability of the closed-loop system (machine + observer) in faulty operation is analyzed and verified using Lyapunov theory. Finally, the efficiency and robustness of the proposed FTC approach are validated in steady state by a numerical simulation developed in MATLAB / Simulink. Obtained results show that the proposed FTC provides a strong fault tolerance where all closed-loop system signals are bounded and errors converge to a small neighborhood of the origin. Simulation results in healthy and faulty conditions confirm the reliability of the suggested framework.

Citation

SAMIR Zeghlache , FOUAD Berrabah , ALI Djerioui , Badreddine Ladjal, Mohamed Fouad Benkhoris, , (2022), Active Fault Tolerant Control based on Backstepping Controller and Non Linear Adaptive Observer for Double Star Induction Machine, International Journal of Intelligent Engineering and Systems, Vol:15, Issue:3, pages:587-600, INASS (The Intelligent Networks And Systems Society)

This paper proposes an optimal energy management strategy (EMS) for DC microgrid. The studied system presents a commercial building power system that combines a photovoltaic array (PV), fuel cell (FC), a battery storage system and a bidirectional DC/AC grid converter. The integration of multiple power sources like renewables leads to techno-economical challenges including power quality, stability, fuel consumption, and efficiency. The proposed EMS is based on the salp swarm algorithm (SSA). This algorithm has been implemented because of considerable advantages such as its convergence properties and its reduced computing complexity. The step-by-step design of the proposed method is detailed. Then HIL tests are performed to validate the proposed EMS performances. The performance of the proposed EMS is compared with the state machine control strategy (SMC) in terms of system efficiency and fuel consumption where the obtained results prove the superiority of the proposed EMS (5.2 % fuel saving). Regarding the power quality, the proposed EMS is compared with EMS based PSO to investigate the optimizer influence, the obtained results confirm the ability of the proposed EMS to provide a superior power quality. Hence, the proposed EMS responds to the power systems challenges including power quality, fuel-saving and efficiency.

Citation

SAMIR Zeghlache , , (2022), Optimal control and implementation of energy management strategy for a DC microgrid, Energy, Vol:238, Issue:1, pages:1-26, Elsevier

Abstract—To keep the robustness and the advantage of the fuzzy logic control technique and to reduce the high energy level of the feedback linearization technique, we propose a new FTC method based on the feedback linearization control (FLC) with adaptive gains with fuzzy logic (FTCFAGFLC) applied to the two tanks coupled system with an actuator fault. The proposed control scheme makes the hybridization between the two techniques, intelligent and guarantees the stability studied by the feedback linearization technique. An adaptation with a fuzzy technique adjusted the parameter of the FLC used to adjust the controller gains in real-time and the proposed FTCFAGFLC was compared to the FLC. The results obtained confirm the effectiveness of the proposed method in the presence of the actuator fault effect.

Citation

Keltoum LOUKAL , ABDERRAHMEN Bouguerra , SAMIR Zeghlache , ,(2022), Fuzzy Adaptive Gains Fault Tolerant Control Based on Feedback Linearization of the Two Tanks System,The 2022 InternationalThe 2022 International Conference of advanced Technology in Electronic and Electrical Engineering (ICATEEE),University Mohamed Boudiaf- M'sila, Algeria

The aim of this work is to develop the actuator fault-tolerant control laws based on fuzzy logic applied to the model of a hydraulic system (tow tanks system) which is highly nonlinear. After dynamic modeling and system state modeling, we presented the theory of the two commands used in this work. First, we proposed a feedback linearization control (FLC), then we approached a synthesis of the controls with sliding mode control (SMC), The proposed methods make the hybridization between the two techniques, with the fuzzy technique, this last used to adjust the gains of the FLC and the SMC, finally a comparative study between these control laws and the performances of each and a discussion in a brief general conclusion.

Citation

Keltoum LOUKAL , ABDERRAHMEN Bouguerra , SAMIR Zeghlache , ,(2022), Fuzzy Gains-scheduled Actuator Fault-Tolerant Control Comparative Study for Two Tanks Level System,2nd International Conference on Engineering and Applied Natural Sciences,Konya, TURKEY

The objective of this work is to remain constant of the DC bus, The dual stator induction generator (DSIG) supplies a variable load, in this study is to assess the suitability and performance of the control techniques which is field oriented control technique (FOC) with PI regulator, allows to achieve the desired performance. The proposed control strategy is validated by simulation in Matlab/Simulink

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Khaled benzaoui , ABDERRAHMEN Bouguerra , SAMIR Zeghlache , Mohammed boukhari , ayyoub.zeghlache@univ-msila.dz, ,(2022), Field Oriented Control Technique of a Wind System based on a Dual Stator Induction Generator,The 2022 InternationalThe 2022 International Conference of advanced Technology in Electronic and Electrical Engineering (ICATEEE),M'sila, Algeria

Effective Fault Tolerant Control Design for Double Fed Induction Generator

Citation

HEMZA Mekki , oussama djaidja , SAMIR Zeghlache , ALI Djerioui , ,(2021), Effective Fault Tolerant Control Design for Double Fed Induction Generator,Ejons 13th International Conference on Mathematics, Engineering, Natural & Medical Sciences,Nevşehir, Turkey

In this paper, an Adaptive RBFNN global fast dynamic terminal sliding mode control (ARBFNNGFDTSMC) is designed to situate the main and tail angles of a twin rotor MIMO system (TRMS). The control objective is to stabilize the TRMS in a reference position or follow a predefined trajectory. An adaptive RBFNN has been used in order to identified unknown nonlinear dynamics of the TRMS. In addition, another adaptive control expressions has been added to diminish the wind gusts, external disturbance effects, and to compensate the estimation errors of the adaptive RBFNN. Moreover, the stability analysis in closed-loop is assured by using Lyapunov method. The developed controller is applied to the TRMS with cross coupling between tail and main subsystems without decoupling procedure. Experimental results prove the good control tracking performance in presence of wind gusts and external disturbances.

Citation

SAMIR Zeghlache , , (2021), Experimental validation of adaptive RBFNN global fast dynamic terminal sliding mode control for twin rotor MIMO system against wind effects, Measurement, Vol:168, Issue:1, pages:1-21, Elsevier

This work presents a reliable fault-tolerant tracking control system (FTTCS) for actuator faults in a octorotor unmanned aerial vehicle. The proposed FTTCS is designed based on adaptive fuzzy global fast dynamic terminal sliding mode control (AFGFDTSMC) that guarantees the global asymptotic stability of a octorotor system. To mitigate the negative impacts of model uncertainties and enhance system robustness in faulty operation, an adaptive fuzzy system is incorporated into the global fast dynamic terminal sliding mode control (GFDTSMC) scheme for adaptively identifying the model uncertainties online and compensate the actuator faults effect. Lyapunov stability analysis proofs that the developed control method design maintains the stability in the closed loop dynamics of octorotor UAV in faulty operation. Simulation results show that the proposed (FTTCS) enables the octorotor to track the desired reference commands in the presence of actuator faults with satisfactory performance.

Citation

SAMIR Zeghlache , , (2021), Fault Tolerant Control Based on Adaptive Fuzzy Global Fast Dynamic Terminal Sliding Mode for Actuators Failures in an Octorotor UAV, International Journal of Intelligent Engineering and Systems, Vol:14, Issue:4, pages:190-203, INASS (The Intelligent Networks And Systems Society)

In this study, an adaptive fuzzy type-2 backstepping controller (AFT2BC) has been proposed for an industrial PUMA560 manipulator robot with a variable load and actuator faults. The method realizes an accurate tracking of the trajectory at the end effectors of the manipulator and improves its robustness toward model uncertainty (payload variation) and actuator faults when controlling the position of the robot. By using the advantages of the backstepping control, the convergence speed of the control algorithm has been improved, and its steady-state error has been reduced. Also, integration of the continuous approximation law has been used to eliminate the real-time chattering during the control process without affecting the robustness of the system. A type-2 fuzzy adaptive control law has been designed in order to guaranty faults and uncertainties compensation, small tracking error, and fast transient response, where the prior knowledge of uncertainties and external disturbances is not required, without disappearing the tracking precision and robustness property. Finally, the stability of the controller has been proved by the Lyapunov theory, and comparative simulations in faulty operation are conducted to show the superiority of the developed control strategy.

Citation

SAMIR Zeghlache , , (2021), Fault Tolerant Control of Robot Manipulators Based on Adaptive Fuzzy Type-2 Backstepping in Attendance of Payload Variation, International Journal of Intelligent Engineering and Systems, Vol:14, Issue:4, pages:312-325, INASS (The Intelligent Networks And Systems Society)

The cascaded integrator comb (CIC) filters are characterized by coefficient less and reduced hardware requirement, which make them an economical finite impulse response (FIR) class in many signal processing applications. They consist of an integrator section working at the high sampling rate and a comb section working at the low sampling rate. However, they don’t have well defined frequency response. To remedy this problem, several structures have been proposed but the performance is still unsatisfactory. Thence, this paper deals with the improvement of the CIC filter characteristics by optimizing its sampling rate. This solution increases the performance characteristics of CIC filters by improving the stopband attenuation and ripple as well as the passband droop. Also, this paper presents a comparison of the proposed method with some other existing structures such as the conventional CIC, the sharpened CIC, and the modified sharpened CIC filters, which has proven the effectiveness of the proposed method.

Citation

SAMIR Zeghlache , , (2021), Sampling Rate Optimization for Improving the Cascaded Integrator Comb Filter Characteristics, Traitement du Signal, Vol:38, Issue:1, pages:97-103, IIETA

Fault-tolerant control (FTC) has earned increasing interest in the last few years for its reliability. A fault tolerant control system for operating a quadrotor aircraft in the presence of actuator faults and external disturbances is proposed in this paper. Firstly, the dynamic model of the quadrotor and types of actuator faults are presented. Secondly, an interval type-2- fuzzy sliding mode control (IT2FSMC) is proposed to stabilize the quadrotor if actuator faults occur. Compared to conventional sliding mode control (SMC), The results obtained confirm the validity and capabilities of the proposed FTC. Thirdly, by using the Lyapunov theory, asymptotic stability is confirmed. The efficiency of the proposed FTC is clarified by simulation results.

Citation

SAMIR Zeghlache , ,(2021), Fault Tolerant Control against Actuator Faults Based on Interval Type-2 Fuzzy Sliding Mode Controller for a Quadrotor Aircraft,2020 2nd International Workshop on Human-Centric Smart Environments for Health and Well-being (IHSH),Boumerdes, Algeria

This paper aims at presenting an energy management strategy (EMS) based upon optimal control theory for a battery–supercapacitor hybrid power system. The hybrid power system consists of a lithium-ion battery and a supercapacitor with associated bidirectional DC/DC converters. The proposed EMS aims at computing adaptive gains using the salp swarm algorithm and load following control technique to assign the power reference for both the supercapacitor and the battery while achieving optimal performance and stable voltage. The DC/DC converter model is derived utilizing the first-principles method and computes the required gains to achieve the desired power. The fact that the developed algorithm takes disturbances into account increases the power elements’ life expectancies and supplies the power system with the required power.

Citation

SAMIR Zeghlache , , (2021), Optimal Adaptive Gain LQR-Based Energy Management Strategy for Battery–Supercapacitor Hybrid Power System, Energies, Vol:14, Issue:6, pages:1-26, MDPI

In this study, we present an ameliorated power management method for dc microgrid. The importance of exploiting renewable energy has long been a controversial topic, and due to the advantages of DC over the AC type, a typical DC islanded micro-grid has been proposed in this paper. This typical microgrid is composed of two sources: fuel cell (FC), solar cell (PV) and one storage element [supercapacitor (SC)]. Here, we aimed to provide a management strategy that guarantees optimized bus voltage with arranged power-sharing between the sources. This proposed management aims to provide high-quality energy to the load under different loading conditions with variable solar irradiance, taking into account the FC state. Due to the slow dynamics of the FC, the SC was equipped to supply the transient period. A management algorithm is implemented to hold the DC bus voltage stable against the load variations. The management controller is based on differential flatness approach to generate the references. The DC bus is regulated by the SC energy; to reduce the fluctuations in the DC bus voltage, The PI controller is implemented. This proposed strategy reduces the voltage ripple in the DC bus. Moreover, it provides permanent supplying to the load with smooth behaviour over the sudden changes in the demand as depicted in the simulation results. Our study revealed that this proposed manager can be used for this kind of grids easily.

Citation

SAMIR Zeghlache , ALI Djerioui , Azeddine Houari, Seydali Ferahtia, , (2020), A hybrid power system based on fuel cell, photovoltaic source and supercapacitor, SN Applied Sciences, Vol:2, Issue:4, pages:1-11, springer

The purpose of this paper is to design the robust fault-tolerant control FTC open-circuit fault IGBT's, first of all. The modeling and control of the induction motor in the healthy inverter and in the faulty inverter (open-circuit fault at the IGBT switch) are proposed. Furthermore, the technique for detection and location the open-circuit fault an IGBT based on the Park vector combined with the polar coordinate. In order to ensure the service continuity of the system, two methods of tolerance are developed: the first method, the indirect vector control with H∞ controller of the induction motor fed by a three-phase inverter based on the fault compensation. The second method, the indirect vector control of the induction motor fed by a three-phase inverter with the redundant leg. Finally, comparative study between the two techniques of tolerance is carried out. The performance of each technique is confirmed by experimental results.

Citation

SAMIR Zeghlache , BILAL DJAMAL EDDINE Cherif , ALI Djerioui , Sara Seninete, Amina Tamer, , (2020), Indirect vector controlled of an induction motor using H∞ current controller for IGBT open circuit fault compensation, International Transactions on Electrical Energy Systems, Vol:30, Issue:10, pages:1-16, wiley online library

This paper addresses the management of a Fuel Cell (FC) – Supercapacitor (SC) hybrid power source for Electric Vehicle (EV) applications. The FC presents the main energy source and it is sustained with SCs energy storages in order to increase the FC source lifespan by mitigating harmful current transients. For this aim, the reported work proposes a Grey Wolf Optimizer (GWO) for an efficient power management of the studied hybrid power system. The key idea of the proposed approach is to incorporate the benefit of the GWO in terms of fast optimization and convergence accuracy, in order to achieve efficient energy sources exploitation and provide the desired driving performances. Simulations and experimental results verify the validity of the proposed management algorithm.

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ALI Djerioui , SAMIR Zeghlache , Azeddine Houari, Abdelhakim Saim, Mohamed Fouad Benkhoris, Tedjani Mesbahi, Mohamed Machmoum, , (2019), Energy management strategy of Supercapacitor/Fuel Cell energy storage devices for vehicle applications, International Journal of Hydrogen Energy, Vol:44, Issue:41, pages:23416-23428, Elsevier

This paper presents a fault-tolerant control (FTC) strategy for double-star induction machine subject to stator and rotor faults. To steer the speed and the flux to their desired references, a nonlinear sliding mode controller (SMC) is designed. However, the proposed SMC can’t deal with the faults effect which can achieve graceful system degradation. In order to compensate the faults effect, an appropriate combination between the proposed SMC and a new developed fault detection and compensation block is made. Simulation results are presented to show the effectiveness of the proposed FTC in terms of speed and flux responses using an estimator of rotor flux. Compared with SMC, the obtained results confirm the validity of the proposed FTC strategy and its ability to ensure a ripple-free operation when the fault occurs. In this kind of multiphase machines, the proposed controller is applied for the first time; its efficiency, robustness and simple design are promising for practical implementation and can be an alternative to the existing FTC.

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ALI Djerioui , SAMIR Zeghlache , HEMZA Mekki , FOUAD Berrabah , Noureddine Layadi, Azeddine Houari, Jinlin Gong, , (2019), Fault-Tolerant Control Based on Sliding Mode Controller for Double-Star Induction Machine, Arabian Journal for Science and Engineering, Vol:0, Issue:0, pages:00, Springer Link

This paper presents a new fault tolerant control (FTC) strategy for double star induction machine (DSIM) under stator and rotor faults. The proposed controller is developed in order to compensate the faults effect using a nonlinear backstepping controller combined with a novel fault detection and compensation block (FDCB) designed to on-line detect and compensate the faults. Simulation results are presented to show the effectiveness of the proposed FTC in terms of speed and flux responses using an estimator of rotor flux. Compared with backstepping control, the obtained results confirm the validity of the proposed FTC and its ability to ensure a ripple-free operation when the fault occurs.

Citation

ALI Djerioui , SAMIR Zeghlache , FOUAD Berrabah , Noureddine LAYADI, Azeddine HOUARI, Mohammed-Fouad BENKHORIS, , (2019), NEW FAULT TOLERANT CONTROL BASED ON BACKSTEPPING CONTROLLER FOR DOUBLE STAR INDUCTION MACHINE, revue roumaine des sciences techniques série électrotechnique et énergétique, Vol:64, Issue:3, pages:275-280, ACADEMIA ROMANA

In this paper a Passive Fault Tolerant Control (PFTC) based on non-linear backstepping control is proposed for a Double Star Induction Machine (DSIM) under Broken Rotor Bars (BRB) fault of a squirrel-cage in order to improve its reliability and availability. The proposed PFTC is able to maintain acceptable performance in the event of BRB. This control technique guarantees robustness against uncertainties and external disturbances and is also able to deal directly with faults by compensating for the effects of the BRB fault in the machine without prior knowledge on the fault, its location and its severity. The stability of the closed-loop is verified by the exploitation of the Lyapunov theory. a comparative study is made between the proposed Fault Tolerance Control (FTC) and Sliding Mode Control (SMC) for demonstrating the performance and effectiveness of the proposed controller. The results obtained show that the proposed FTC has a better robustness against the BRB fault where the DSIM operates with acceptable performance in both speed and torque.

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SAMIR Zeghlache , ALI Djerioui , HEMZA Mekki , FOUAD Berrabah , Noureddine Layadi, Azeddine Houari, Mohamed-Fouad Benkhoris, , (2019), Backstepping Fault Tolerant Control for Double Star Induction Machine under Broken Rotor Bars, Majlesi Journal of Electrical Engineering, Vol:13, Issue:3, pages:59-68, BDPA Company

The control of the hexarotor helicopter includes nonlinearities, uncertainties and external perturbations that should be considered in the design of control laws. This paper presents a control strategy for an underactuated six degrees of freedom (6 DOF) hexarotor helicopter, based on the coupling of the interval type-2 fuzzy logic (IT2FL) control and sliding mode control (SMC). The main purpose of this work is to eliminate the chattering phenomenon. To achieve our purpose we have used a IT2FL control to generate the hitting control signal, the results of our simulations indicate that the control performance of the hexacopter are satisfactory and the proposed

Citation

SAMIR Zeghlache , HEMZA Mekki , ALI Djerioui , ,(2019), Dynamic Modeling and Design of interval type-2 fuzzy sliding-mode controller of an Hexacopter UAV,International Conference on Computational Methods in Applied Sciences (IC2MAS19),Turkey

In The paper proposes Interval Type-2 Fuzzy sliding mode controller (F2SMC) following on direct rotorique field oriented control (DRFOC), for to control the speed of a dual star induction machine (DSIM), to get stability and a robustness performance machine. An appropriate control strategy based on the hybrid controllers sliding mode and Type-2 Fuzzy controller are used to guaranteeing the a machine robust and stable to force the rotor speed to follow a desired reference signal. The simulations results obtained for F2SMC using Matlab/Simulink behavior are presented and discussed. Keywords-Type2fuzzy,slidingmode,hybridcontroller,DSIM,robust.

Citation

HILAL RAHALI , SAMIR Zeghlache , ,(2019), Speed Control of a Dual Star Induction Motor Based on Type-2 Fuzzy Logic Sliding Mode Controller,5TH INTERNATIONAL CONFERENCE ON ADVANCES IN MECHANICAL ENGINEERING (ICAME 2019),Istanbul

This paper presents a comparison between an Interval Type 2 Fuzzy Gain Adaptive PI and a Conventional PI controllers used for speed control of an Electronically Commutated Motor (BrushLess DC Motor). In particular, the introduction of this paper presents a type 2 fuzzy logic Gain Adaptive PI controller of machines, in the first part we presents a description of the mathematical model of BLDCM, and an strategy method is proposed for the speed control of this motor in the presence of the variations parametric, A interval type-2 fuzzy inference system is used to adjust in real-time the controller gains. The obtained results show the efficacy of the proposed method.

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izzeddine DILMI , ABDERRAHMEN Bouguerra , SAMIR Zeghlache , Keltoum LOUKAL , ,(2019), INTERVAL TYPE 2 FUZZY GAIN-ADAPTIVE PI CONTROLLER OF BRUSHLESS DC MOTOR,5TH INTERNATIONAL CONFERENCE ON ADVANCES IN MECHANICAL ENGINEERING,Istanbul

In this paper, a robust attitude and position control of a novel modified quadrotor unmanned aerial vehicles (UAV) which has higher drive capability as well as greater robustness against actuator faults than conventional quad-rotor UAV has been developed. A robust backstepping controller with adaptive interval type-2 fuzzy logic is proposed to control the attitude and position of the modified quadrotor under actuator faults. Besides globally stabilizing the system amid other disturbances, the insensitivity to the model errors and parametric uncertainties are the asset of the backstepping approach. The adaptive interval type-2 fuzzy logic as fault observer can effectively estimate the lumped faults without the knowledge of their bounds for the modified quadrotor UAV. Additionally, the type-2 fuzzy systems are utilized to approximate the local nonlinearities of each subsystem under actuator faults, next and in order to achieve the expected tracking performance, we used Lyapunov theory stability and convergence analysis to online adjust adaptive laws. As a result, the uniformly ultimate stability of the modified quadrotor system is proved. Finally, the performances of the proposed control method are evaluated by simulation and the results demonstrate the effectiveness of the proposed control strategy for the modified quadrotor in vertical flights in presence of actuator faults.

Citation

SAMIR Zeghlache , ALI Djerioui , LOUTFI Benyettou , Tarak BENSLIMANE , HEMZA Mekki , ABDERRAHMEN Bouguerra , , (2019), Fault tolerant control for modified quadrotor via adaptive type-2 fuzzy backstepping subject to actuator faults, ISA transactions, Vol:95, Issue:2019, pages:330-345, Elsevier

This paper presents a comparison between an Interval Type 2 Fuzzy Gain Adaptive PI and a Conventional PI controllers used for speed control of an Electronically Commutated Motor (BrushLess DC Motor). In particular, the introduction of this paper presents a type 2 fuzzy logic Gain Adaptive PI controller of machines, in the first part we presents a description of the mathematical model of BLDCM, and an strategy method is proposed for the speed control of this motor in the presence of the variations parametric, A interval type-2 fuzzy inference system is used to adjust in real-time the controller gains. The obtained results show the efficacy of the proposed method.

Citation

ABDERRAHMEN Bouguerra , izzeddine DILMI , SAMIR Zeghlache , Keltoum LOUKAL , ,(2019), INTERVAL TYPE 2 FUZZY GAIN-ADAPTIVE PI CONTROLLER OF BRUSHLESS DC MOTOR,5TH INTERNATIONAL CONFERENCE ON ADVANCES IN MECHANICAL,istanbul, turkey

In this paper, a robust controller for a Six Degrees of Freedom (6 DOF) coaxial octorotor helicopter control is proposed in presence of actuator faults. Radial Base Function Neural Network (RBFNN), Fuzzy Logic Control approach (FLC) and Sliding Mode Control (SMC) technique are used to design a controller, named Fault Tolerant Control (FTC), for each subsystem of the octorotor helicopter. The proposed FTC scheme allows avoiding difficult modeling, attenuating the chattering effect of the SMC, reducing the rules number of the fuzzy controller, and guaranteeing the stability and the robustness of the system. The simulation results show that the proposed FTC can greatly alleviate the chattering effect, good tracking in presence of actuator faults.

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SAMIR Zeghlache , HEMZA Mekki , ABDERRAHMEN Bouguerra , ALI Djerioui , , (2018), Actuator fault tolerant control using adaptive RBFNN fuzzy sliding mode controller for coaxial octorotor UAV, ISA transactions, Vol:80, Issue:2018, pages:267-278, Elsevier

The work has done in this paper concern a strategy of control based on gain adaptive proportional integral derivative (PID) using the fuzzy inference system and their application to the Twin Rotor MIMO System (TRMS), the PID controller with fixed parameters may fail to provide acceptable control performance. To improve the PID control effect, new designs of the fuzzy gain Scheduled PID controller (FGSPID) were presented in this paper. The proposed techniques were applied to the TRMS, where adaptive PID controllers were proposed for control system in the presence of external disturbances. The parameters of PID controller were adjusted by a fuzzy system, used to tune in real-time the controller gain. The obtained simulation and experiment results show that the robustness of TRMS angles (pitch and yaw) driven by proposed controller are guaranteed.

Citation

MOHAMMED ZINELAABIDINE GHELLAB , SAMIR Zeghlache , ABDERRAHMEN Bouguerra , , (2018), Real time implementation of fuzzy gain-scheduled PID controller for twin rotor MIMO system (TRMS), Advances in Modelling and Analysis C, Vol:73, Issue:4, pages:137-149, AMSE

The present paper describes the direct torque sensor less speed control of induction motor fed by three-level voltage source inverter. Inverter switches control is based on fuzzy logic control. Compared to conventional direct torque control (DTC), hysteresis controllers, flux position and voltage vector selection table are replaced by fuzzy logic blocks to realize a DTC-fuzzy control. The obtained results have showed high speed performance, reduced torque and flux fluctuations when the proposed DTC-fuzzy strategy is used for the control of three-level voltage source inverter associated with induction machine.

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ALI CHEBABHI , FOUAD Berrabah , SAMIR Zeghlache , , (2017), Direct Torque Control of Induction Motor Fed by Three-level Inverter Using Fuzzy Logic, International Information and Engineering Technology Association (IIETA), Vol:72, Issue:4, pages:248-265, Scholarly society based in Edmonton, Alberta, Canada

This paper presents a comparison between a fuzzy gain adaptive controller and a conventional PI controller used for speed control of a Brushless DC motor (BLDCM) or electronically commutated (ECM). First, we establish a dynamic model for direct current to the input of the switch that the electromagnetic torque of BLDCM is proportional to this current. This model is intended to facilitate the procedures for setting and controlling the current, and an adaptive PI controller is proposed for the speed control of BLDCM in the presence of the variations parametric. A fuzzy-Type 1 inference system is used to adjust in real-time the controller gains. The obtained results show the efficacy of the proposed method.

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Keltoum LOUKAL , ABDERRAHMEN Bouguerra , SAMIR Zeghlache , ,(2017), Speed Control of a Brushless DC Motor (BLDCM) Based on Fuzzy Gain-Adaptive PI,10th INTERNATIONAL CONFERENCE on ELECTRICAL and ELECTRONICS ENGINEERING,Bursa,TURKEY

Control of the helicopter includes nonlinearities, uncertainties and external perturbations that should be considered in the design of control laws. This paper presents a control strategy for 6 DOF octorotor aircraft, based on the coupling of the interval type-2 fuzzy logic control with the so-called sliding mode control (SMC) using a proportional-integral-derivative (PID) sliding surface. The main purpose is to eliminate the chattering phenomenon. For this proposed we have used an interval type-2 fuzzy logic control to generate the switching control signal. Moreover the output gain of the type-2 fuzzy sliding is tuned on-line by supervisory type-2 fuzzy system (adaptive interval type-2 fuzzy sliding mode control), so the chattering is avoided, the simulation results that are compared of conventional SMC with PID sliding surface indicate that the control performance of the 6 DOF octorotor aircraft is satisfactory and the proposed adaptive interval type-2 fuzzy sliding mode control (AIT2FSMC) can achieve favorable tracking performance.

Citation

SAMIR Zeghlache , MOHAMMED ZINELAABIDINE GHELLAB , ABDERRAHMEN Bouguerra , , (2017), Adaptive Type-2 Fuzzy Sliding Mode Control Using Supervisory Type-2 Fuzzy Control for 6 DOF Octorotor Aircraft, International Journal of Intelligent Engineering and Systems, Vol:10, Issue:3, pages:47-57, INASS

In this paper, a Fault-Tolerant control of 2 DOF Helicopter (TRMS System) Based on Fuzzy Gain-Adaptive PID is presented. In particular, the introduction part of the paper presents a Fault-Tolerant Control (FTC), the first part of this paper presents a description of the mathematical model of TRMS, an adaptive PID controller is proposed for fault-tolerant control of a TRMS helicopter system in the presence of actuator faults, A fuzzy inference scheme is used to tune in real-time the controller gains, The proposed adaptive PID controller is compared with the conventional PID. The obtained results show the effectiveness of the proposed method

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ABDERRAHMEN Bouguerra , Djamel SAIGAA , SAMIR Zeghlache , Keltoum LOUKAL , Kamel KARA, ,(2015), fault-tolerant fuzzy gain-adaptive PID control for a 2 DOF helicopter (TRMS system),international scientific research and experimental development,istanbul, turkey

This work relates to the super twisting algorithm control of brushless DC motor (BLDCM) or electronically commutated (ECM). First, we establish a dynamic model for direct current to the input of the switch that the electromagnetic torque of BLDCM is proportional to this current. This model is intended to facilitate the procedures for setting and controlling the current. In this paper a recent method called super twisting algorithm is applied to the BLDCM, in order to avoid the chattering problem and to improve control performance. High order techniques allow us to keep the main advantages of the classical sliding mode and to remove the chattering problem.

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Keltoum LOUKAL , ABDERRAHMEN Bouguerra , SAMIR Zeghlache , Leila BENALIA, Mohamed. Chemachema, H. Chekireb, ,(2012), Super Twisting Control Algorithm Applied to the Brushless DC Motor (BLDCM),4th INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING,Alger,algeria