SABIR Messalti

DEBIHI YACINE , SEDDI SLIMAN

Modélisation et commande d’un SVC installé dans un réseau interconnecté

KHOUDOUR ADEL , CHAIBI MADANI

Etude d'un système photovoltaïque commandé par un régulateur MPPT-PID

assam boudia

Contribution à l’étude d’un système photovoltaïque connecté au réseau électrique avec un système de stockage à base d’une inductance supraconductrice (SMES)

said azouz , said azzouz, said azoz

AMELIORATION DE LA COMMANDE D’UN SYSTEME EOLIEN A BASE D’UNE MACHINE MADA UTILISANT LES TECHNIQUES INTELLIGENTES

Hichem, AIB , Houdheyfa, ROUBI;

Amélioration de la commande MPPT d’un système Photovoltaïque par backstepping

Theldja, MERZOUGUI; , Khedidja, ABDELKEBIR

Commande d’une génératrice synchrone à aimant permanant (GSAP)

ZEMMIT, Abderrahim

Contribution à la commande de la machine asynchrone à double alimentation (MADA) par les techniques intelligentes

Today, storage energy strategy can be considered as one of the important topics to overcome the production outages and electricity shortages. So, the present paper shows a novel power system equipped by storage system based on SMES (Superconducting Magnetic Energy Storage). The SMES can stores energy without losses and can generates it based on demand/consumption or fluctuation of load/productions. The proposed SMES is charged using PV system, then the storage energy is injected into power system, the SMES control strategy is based on PI controller. However, the DC-DC boost is controlled by PID classical controller. Simulation has been carried out for different scenarios: variable irradiation, variable load. Obtained results show that the developed system operates perfectly during all scenarios (charging, standby, discharging), also the equality of consumption and generated power is always guarantee. Hence, SMES can improve the performances of power system under hard conditions.

Citation

Sabir MESSALTI , ,(2022), Modeling and Control Of Grid-PV-SMES System,The 2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE),msila

In this work, we have developed two new intelligent maximum power point tracking (MPPT) techniques for photovoltaic (PV) solar systems. To optimize the PWM duty cycle driving the DC/DC boost converter, we have used two optimization algorithms namely the whale optimization algorithm (WOA) and grey wolf optimization (GWO) so we can tune the PID controller gains. The oscillation around the MPP and the fail accuracy under fast variable isolation are among the well-known drawbacks of conventional MPPT algorithms. To overcome these two drawbacks, we have formulated a new objective fitness function that includes WOA/GWO based accuracy, ripple, and overshoot. To provide the most relevant variable step size, this objective fitness function was optimized using the two aforementioned optimization algorithms (i.e., WOA and GWO). We have carried out several tests on Solarex MSX-150 panel and DC/DC boost converter based PV systems. In the simulation results section, we can clearly see that the two proposed algorithms perform better than the conventional ones in term of power overshoot, ripple and the response time.

Citation

Abderrahim ZEMMIT , Sabir MESSALTI , , (2021-02-01), A New Improved Variable Step Size MPPT Method for Photovoltaic Systems Using Grey Wolf and Whale Optimization Technique Based PID Controller, Journal Européen des Systèmes Automatisés, Vol:54, Issue:1, pages:175-185, iieta

In this work, we have developed two new intelligent maximum power point tracking (MPPT) techniques for photovoltaic (PV) solar systems. To optimize the PWM duty cycle driving the DC/DC boost converter, we have used two optimization algorithms namely the whale optimization algorithm (WOA) and grey wolf optimization (GWO) so we can tune the PID controller gains. The oscillation around the MPP and the fail accuracy under fast variable isolation are among the well-known drawbacks of conventional MPPT algorithms. To overcome these two drawbacks, we have formulated a new objective fitness function that includes WOA/GWO based accuracy, ripple, and overshoot. To provide the most relevant variable step size, this objective fitness function was optimized using the two aforementioned optimization algorithms (i.e., WOA and GWO). We have carried out several tests on Solarex MSX-150 panel and DC/DC boost converter based PV systems . In the simulation results section, we can clearly see that the two proposed algorithms perform better than the conventional ones in term of power overshoot, ripple and the response time

Citation

Sabir MESSALTI , , (2021), A New Improved Variable Step Size MPPT Method for Photovoltaic Systems Using Grey Wolf and Whale Optimization Technique Based PID Controller, Journal Européen des Systèmes Automatisés, Vol:54, Issue:1, pages:175-185, IIETA

The uncertainty of wind power brings great challenges to large-scale wind power integration. The conventional integration of wind power is difficult to adapt the demand of power grid planning and operation. This paper proposes an instantaneous power control strategy for voltage improvement in power networks using wind turbine improving the dynamical response of power systems performances (voltage and transient stability) after fault. In which the proposed control algorithm based on a new advanced control strategy to control the injected wind power into power system. The efficiency of developed control strategy has been tested using IEEE 9 Bus. Simulation results have showed that the proposed method perform better to preserve optimal performances over wide range of disturbances for both considered scenarios studied short circuit and variable loads.

Citation

Sabir MESSALTI , , (2021), Instantaneous Power Control Strategy for Voltage Improvement in Power Network Equipped by Wind Generator, Journal Européen des Systèmes Automatisés, Vol:54, Issue:1, pages:147-154, IIETA

This paper proposes a generalized technique to minimize power losses of PV arrays connected in Total Cross-Tied (TCT), under both current and voltage mismatch effects. The proposed method is based on the classification of the electrical data of the PV modules composing the photovoltaic array in order to identify the mismatch type, then applying an arrangement of the PV modules according to the mismatch type found. The design process of the proposed algorithm is detailed and its validity and performance are verified under different mismatch scenarios. The efficiency enhancement is verified for different mismaths cases and the computed results reveal that the proposed algorithm can achieve an improvement of around 30% in the PV array power. Furthermore, a comparative study with SuDoKu and genetic algorithms are performed. The obtained results under MATLAB/Simulink software highlighted the superiority of the proposed method in comparison to the compared ones. The enhancement resides in the implementation simplicity as well as in the minimization of the number of infection points indicating smooth I-V and P-V characteristic curves.

Citation

Sabir MESSALTI , , (2021), A New Simplified Algorithm for Real-Time Power Optimization of TCT Interconnected PV Array under Any Mismatch Conditions, Journal Européen des Systèmes Automatisés, Vol:54, Issue:6, pages:805-817, IIETA

Recently, the rapid advancement technologic of photovoltaic system with storage system based on batteries has taking great consideration. However, their low life time, limited power sizing and low efficiency are the most drawbacks, to overcome these previous disadvantages, new PV system based superconducting magnetic energy storage (SMES) has been proposed and investigated. In this paper, two independent control strategies have proposed and studied, the first control loop is designed to extract the maximum power point (MPP) of PV system based on backstepping controller, the second controller is established to control the SMES where the storage energy is controlled by PID-fuzzy controller. A comparative study between PID classic controller and PID-fuzzy controller has been carried out, in which many improvements have been demonstrated, where the second controller has provided more superiority in term of accuracy and oscillation of generated power of PV-SMES.

Citation

Sabir MESSALTI , , (2021), New hybrid photovoltaic system connected to superconducting magnetic energy storage controlled by PID-fuzzy controller, Energy Conversion and Management, Vol:244, Issue:15, pages:114435, Elsevier

Although the great advance in power system production and operation, storage energy technologies and its control techniques can be considered as one of the most important and critical topics of power companies , government and consumers, especially when the power system containing renewable source and storage system simultaneously. In this paper, a novel electrical grid structure including photovoltaic system and storage system based on Superconducting Magnetic Energy Storage (SMES) has been proposed and investigated. The SMES produced power is injected in power system during specific time or when it required. Two control strategies for exchanged power Grid- SMES have been proposed and analyzed, the first uses sliding mode and the second uses field oriented control based on PI controller, also the injected SMES power is controlled by PID controller. In addition, the photovoltaic system operates at the MPP employing PID MPPT method. The proposed control strategies have been tested successfully in which many scenarios have been studied: standby and discharging of SMES, injection of SMES storage energy for variable and constant load and control of grid containing PV system. In addition, a comparative study of exchanged power Grid- SMES control using Sliding mode and field oriented control based on PI controller has been presented and discussed.

Citation

Sabir MESSALTI , , (2020), Modeling and Control of Power System Containing PV System and SMES using Sliding Mode and Field Control Strategy, Journal of New Materials for Electrochemical Systems, Vol:23, Issue:3, pages:190-197, IIETA

In this paper, two intelligent control techniques applied on Wind Energy Conversion Systems (WECS) have proposed and tested, the first uses a novel FLC MPPT (fuzzy logic maximum power point tracking) Fuzzy Logic MPPT Controller extracting the highest power of wind turbine .The second controller is an artificial neural network controller applied to doubly-fed induction generator(DFIG) to improve their control performances, the neural network controller is proposed as an alternative of the conventional proportional and integral (PI) controller to overcome any disturbance, such as fast wind speed variation, short grid voltage fault, parameter variations. The proposed system is designed and evaluated in MATLAB/SIMULINK. Simulation results show the good dynamic performances of the proposed system, in which the effectiveness of the proposed controllers for both wind turbine and DFIG has been demonstrated under variable wind speed

Citation

Sabir MESSALTI , Azzouz said, ,(2019), Novel fuzzy logic FLC MPPT controller driving Wind Energy Conversion Systems Based on DFIG controlled by artificial neural network,The 7th International Conference on Control Engineering &Information Technology,Tetouan – Morocco

In this paper, new maximum power point tracking (MPPT) using artificial neural network and backstepping techniques has been proposed and investigated. In which the voltage reference is calculated by artificial neural network, then the optimal duty cycle is obtained by backstepping controller. In addition proposed method has been compared to P&O method. The proposed MPPT controller has been validated using BP SX 150 solar panel connected to DC-DC boost converter. Simulation results have been demonstrated for different atmospheric conditions.

Citation

Sabir MESSALTI , assam.boudia@univ-msila.dz, ,(2019), Hybrid artificial neural network- Backstepping MPPT controller PV systems,The 7th International Conference on Control Engineering &Information Technology,morocco

In this paper, a novel maximum power point tracking (MPPT) strategy of photovoltaic system has been proposed and investigated. The suggested method is based on modified variable step-size perturbation and observation P&O strategy, which it can overcome several drawbacks and limitations of previous developed MPPT methods especially oscillations around the MPP, accuracy, and the convergence speed under rapidly changing atmospheric conditions. To demonstrate the efficiency of the proposed method, both simulation model and experimental prototype have been developed and tested effectively using photovoltaic system based on Solarex MSX-60 panel and forward converter controlled by dsPIC30F2010 controller. Obtained results demonstrate that the proposed adaptive step-length perturbation and observation P&O strategy can offer many benefits compared to conventional P&O MPPT method and other methods developed previously in terms of low ripple, low overshoot, and low response time. The proposed adaptive step-size MPPT improves drastically the performances in static mode (oscillation reduction ratio around 75.00%) as well as in dynamic mode (convergence time reduction ratio around 91.67%) improving by the way the transferred available power.

Citation

Sabir MESSALTI , abelhamid loukriz, abdelghani harrag, , (2019), Design, simulation, and hardware implementation of novel optimum operating point tracker of PV system using adaptive step size, International Journal of Advanced Manufacturing Technology, Vol:101, Issue:5, pages:1671-1680, springer

This paper proposes an innovative technique for designing sliding mode maximum power point tracking (MPPT) controller for photovoltaic (PV) systems under fast changing atmospheric conditions. The particle swarm optimization (PSO) algorithm is used to find the optimal sliding mode controller (SMC) gains used to drive the variable step of the conventional perturb and observe (P&O) algorithm. The system operates in two modes: offline mode required for testing different set of SMC gains leading to optimum values; and online mode where the SMC optimum gains were used to drive the variable step of the P&O MPPT. The effectiveness of the proposed MPPT has been studied successfully using a Solarex MSX‐60 module connected to a boost DC‐DC converter powering a resistive load. Comparison study of the proposed MPPT with the classical fixed step P&O is presented showing a good efficiency and improvements of the proposed algorithm in transient, steady‐state, and dynamic responses, especially under fast changing atmospheric conditions. Besides using PSO to tune the SMC parameters, our main contribution consists of improving the performance of proposed algorithm to track effectively the maximum power point (MPP) with low oscillation, low ripple, low overshoot, and good rapidity in slow and fast changing atmospheric conditions compared with conventional P&O.

Citation

Sabir MESSALTI , Abdelghani Harrag, , (2019), PSO‐based SMC variable step size P&O MPPT controller for PV systems under fast changing atmospheric conditions, International Journal of Numerical Modelling: Electronic Networks, Devices and field, Vol:33, Issue:5, pages:2603, wiley

This paper addresses the development of a Neuro-Fuzzy IC variable step size MPPT controller. Firstly, the proposed MPPT controller is developed in an offline mode required for testing different set of neural network architectures and parameters, using the Fuzzy-based IC variable step size MPPT data. Secondly, the optimal found neural network controller is then used to track the output power of the PV system in an online mode. The inputs variables for the proposed neural network controller are same as for the Incremental Conductance algorithm inputs (i.e. I and V); while the output is the PWM ratio used to drive the DC-DC boost converter. The effectiveness of proposed Neuro-Fuzzy IC variable step size MPPT controller is investigated by implementing the model of the entire system using Matlab/Simulink environment, composed of Solarex MSX-60W PV panel operating at variable atmospheric conditions and DC-DC boost converter drived using the proposed controller. Simulation results prove that the proposed variable step size Neuro-Fuzzy IC MPPT outperforms the classical fixed step size IC MPPT in all considered performance measures which leads to the improvement of the output power and consequently the reduction of power losses.

Citation

Sabir MESSALTI , abelghani harrag, , (2019), IC-based Variable Step Size Neuro-Fuzzy MPPT Improving PV System Performances, Energy Proc, Vol:157, Issue:5, pages:362-374, elsevier

In this paper, new improved maximum power point tracking using combinedbackstepping -sliding mode has been designed and studied, it is very known that the sliding mode control provides a good performance, however the charting (oscillation) is the most drawback of this method. So, to overcome the previous dilemma, a novel combined MPPT employing backstepping and sliding mode controller has been proposed, modeling of PV system and proposed hybrid backstepping-sliding have been presented with details. Simulation tests have been carried out using BP SX 150 solar panel, obtained results demonstrate a huge improvement in term of tracking, less oscillation and low ripple.

Citation

Sabir MESSALTI , assam boudia, abdelghani harrag, , (2019), New Improved Hybrid MPPT Based on Backstepping-sliding Mode for PV System, Journal Européen des Systèmes Automatisés Vol. 52, No. 3, June, 2019, pp. 317-323, Vol:52, Issue:3, pages:317-323, amse

Although the numerous advantages of wind turbine, the nonlinear characteristic (P–Ω) providing a unique maximum power point is the most drawbacks. Therefore a maximum power point tracker is usually adopted, which the Tip-Speed ratio, the perturbation and observation and the optimum torque control methods are widely used. In this article, a novel neural network (ANN) MPPT controller based on perturbation and observation has been projected and studied. The ANN MPPT controller of wind turbine system is established in two independents steps: the offline operation mode is mandatory for training of different neural networks parameters and the Online operation mode where the most advantageous neural network MPPT controller is implanted in wind turbine system. The developed MPPT controller is tested on wind turbine based–DFIG generator, which it is controlled by sliding mode control (SMC). Simulation results are presented and discussed.

Citation

Sabir MESSALTI , said azzouz, abdelghani harrag, , (2019), A Novel Hybrid MPPT Controller Using (P&O)-neural Networks for Variable Speed Wind Turbine Based on DFIG, Modelling, Measurement and Control A, Vol:92, Issue:1, pages:23-29, amse

Although the multitude benefit of wind power, the randomness of wind speed and the fluctuations of wind power are the most disadvantages of wind energy. So, for more efficiency and better performances, wind rotor must be driven at specific optimal rotational speed under each particular wind speed. Therefore, to extract the maximum power from wind turbine, a Maximum Power Point Tracking (MPPT) controller is required. In this paper, modeling of wind energy conversion system WECS using tip speed ratio (TSR) MPPT controller using PID controller tuned by genetic algorithm is investigated. The wind energy conversion is based on a doubly-fed induction generator (DFIG), which it is controlled by robust sliding mode control technique using a generator of 3.6 MW . The obtained results are presented and analyzed, where the performances of both proposed control strategies (MPPT based PID-GA, sliding mode control) have been shown

Citation

Sabir MESSALTI , said azzouz, abdelghani harrag, , (2019), Innovative PID-GA MPPT Controller for Extraction of Maximum Power From Variable Wind Turbine, PRZEGLĄD ELEKTROTECHNICZNY, R. 95 NR 8/2019, Vol:95, Issue:8, pages:115-120, sigma

The paper presents a novel voltage control method based on the THD correction using a hysteresis controller. This structure is used as an AC/DC/AC driving system for asynchronous machine. Using the novel THD correction system enabled by a hysteresis controller turns the non-sinusoidal source current of the system into a sinusoidal waveform. Simulation and experimental results show a significant improvement of the source current due to eliminated harmonics and a notable decrease in the THD value from 28.24 to 3.25

Citation

Sabir MESSALTI , Issam Griche, Kamel Saoudi, Abderrazak Arab, , (2019), Power-System Voltage Control Based THD Correction using a Hysteresis Controller, ELEKTROTEHNIŠKI VESTNIK, Vol:86, Issue:4, pages:225-231, Electrotechnical Society of Slovenia, Ljubljana, Slovenia

In this paper, transient stability and voltage regulation have been studied using Fuzzy Logic (FL) and PI controller tuned by Bees Algorithm (BA). Both controllers applied to a Single Machine Infinite Bus (SMIB) power system equipped by Static Var Compensator (SVC) and small wind turbine. Transient stability has been evaluated using a relative rotor criteria and the Critical Clearing Time (CCT) which has been calculated for cases considered for different mechanical ratio. Voltage regulation has been improved using SVC controlled by PI controller which her parameters have been optimized by Bees Algorithm (BA). Obtained results have been demonstrated a better performance with FL and PI controller which CCT has been increased and decreased considerably

Citation

Sabir MESSALTI , Sabir MESSALTI , issam griche, , (2019), Parallel Fuzzy Logic and PI Controller for Transient Stability and Voltage Regulation of Power System Including Wind Turbine, PRZEGLĄD ELEKTROTECHNICZNY, Vol:9, Issue:1, pages:51-56, sigma

In this paper, transient stability and voltage regulation have been studied using Fuzzy Logic (FL) and PI controller tuned by Bees Algorithm (BA). Both controllers applied to a Single Machine Infinite Bus (SMIB) power system equipped by Static Var Compensator (SVC) and small wind turbine. Transient stability has been evaluated using a relative rotor criteria and the Critical Clearing Time (CCT) which has been calculated for cases considered for different mechanical ratio. Voltage regulation has been improved using SVC controlled by PI controller which her parameters have been optimized by Bees Algorithm (BA). Obtained results have been demonstrated a better performance with FL and PI controller which CCT has been increased and decreased considerably

Citation

Sabir MESSALTI , Sabir MESSALTI , issam griche, , (2019), Parallel Fuzzy Logic and PI Controller for Transient Stability and Voltage Regulation of Power System Including Wind Turbine, PRZEGLĄD ELEKTROTECHNICZNY, Vol:9, Issue:1, pages:51-56, sigma

In this paper, new Adaptive Neuro-Fuzzy Inference System (ANFIS) and PI controller have been proposed and investigated which the power system is equipped by Static Var Compensator (SVC) and small wind turbine. The SVC is controlled by PI controller optimized by genetic algorithm (GA) to regulate the voltage profile. To demonstrate the efficiency of proposed controller, a Single Machine Infinite Bus (SMIB) has been considered, in which small fluctuation of mechanical damped has been applied to improve the transient stability and has been evaluated using a relative rotor criteria. Obtained results have demonstrated a better performance with ANFIS and PI controller in which both voltage and transient stability have been controlled perfectly.

Citation

Sabir MESSALTI , issam griche, kamel saoudi, , (2019), A New Adaptive Neuro-Fuzzy Inference System (ANFIS) and PI Controller to Voltage Regulation of Power System Equipped by Wind Turbine, European Journal of Electrical Engineering, Vol:21, Issue:2, pages:149-155, amse

This paper presents a new improved Direct Torque Control of doubly fed induction motor using PI controller tuned using genetic algorithm. The classical DTC control of DFIM is well known and is widely used due to its simplicity and easy implementation. However, the performances of conventional DTC are often characterized by high torque and flux ripples as well as variable switching frequency. To overcome the previous drawbacks of the classical DTC control, a new combined DTC-GA method using PI controller optimized by genetic algorithm is presented. The GA selects PI parameters that optimize the performances of conventional DTC. The PI parameters are optimized in offline mode where several values have been tested; then the best PI gains are used in online mode. The proposed DTC-GA method applied to DFIM has been validated using Matlab/Simulink environment. Many improvements related to torque and flux ripples overshoot and response time have been demonstrated. Which torque and flux ripple have been reduced more than 64.44% and 50 % respectively. The speed overshoot and torque overshoot have been reduced about 90% and 86% respectively. In addition, more details are presented and discussed in this paper.

Citation

Abderrahim ZEMMIT , Sabir MESSALTI , , (2018), A new improved DTC of doubly fed induction machine using GA-based PI controller, Ain Shams Engineering Journal, Vol:4, Issue:9, pages:1877-1885, sciencedirect

This paper presents a new advanced Direct Torque Control of doubly fed induction motor using Fuzzy logiccontroller, which the classic integral proportional (IP) controller have been replaced by new fuzzylogic controller (FLC) of speed to overcome the most drawbacks and limitations of classical DTC control, accuracy and the convergence speed under sudden changing torque reference and/or speed reference. The fuzzy logic controllerparameter that optimizethe performances of conventional Direct Torque Control of doubly fed induction motor. The proposed fuzzy logique controller have shown is better than the conventional controller.

Citation

Abderrahim ZEMMIT , Sabir MESSALTI , Said AZZOUZ, assam.boudia@univ-msila.dz, ,(2018), Direct Torque Control-Fuzzy Logic Controller (DTC-FLC)of Doubly Fed Induction Machine (DFIM),Second International Conference on Electrical Engineering, Biskra, December, 2-3, 2018.,Biskra, Algeria.

Double Fed Induction Generator (DFIG) had been widely used as a wind turbine generator, due its various advantages especially low generation cost so it becomes the most important and promising sources of renewable energy.This paper presents fuzzy logic control (FLC) of Doubly Fed Induction Generator (DFIG) wind turbine. First, a mathematical model of the doubly fed induction generator written in an appropriate d-q reference frame is established to investigate simulations.In order to control the stator powers of DFIG, a power active and reactive control law is synthesized using PI controllers. Then, the performances of fuzzy logic controller are investigated and compared to those obtained from the PI controller. Simulation results prove the excellent performance of fuzzy control unit as improving power quality and stability.

Citation

Abderrahim ZEMMIT , Sabir MESSALTI , Said AZZOUZ, ,(2018), Comparative study of control strategies for the doublefedinduction generator,Second International Conference on Electrical Engineering, Biskra, December, 2-3, 2018.,Biskra, Algeria.

this paper present a new maximum power point tracking for photovoltaic system, variable step perturb and observe, in which to ameliorate the disadvantages of classical perturb and observe, a comparative study between the classical and the variable step is carried out in which many point has been proved, considering the change of temperature and irradiation, the results obtained proved the performance of the variable step including response time and oscillation. Keywords-solar energy, maximum power point, boost converter, perturb and observe.

Citation

Abderrahim ZEMMIT , Sabir MESSALTI , boudia assam, ,(2018), A comparative study on MPPT techniques for photovoltaic systems operating under fast changing environments,Conference: Second International Conference on Electrical Engineering ICEEB’2018, December 2-3 2018, Biskra, Algeria,Biskra, Algeria

The studies in photovoltaic system are increasing in the last years, because of a large, secure, broadly available and clean, but the output powers photovoltaic is affected by the change of the irradiation, temperature and load. Therefore, to maximize the efficiency of photovoltaic system it's necessary to track the maximum power point (MPP). In this work backstepping algorithm MPPT has been applied to improve the performance of photovoltaic system by using BP SX150S solar module connected to the DC-DC derived by the Backstepping MPPT, a compared study has been applied between backstepping and P&O algorithm, the comparative study results proposed backstepping algorithms prove the effectiveness of the proposed algorithm compared to P&O MPPT.

Citation

Abderrahim ZEMMIT , Sabir MESSALTI , ,(2018), Backstepping MPPT for photovoltaic system,Second International Conference on Electrical Engineering ICEEB’2018, December 2-3 2018, Biskra, Algeria,Biskra, Algeria

This paper presents a new modified direct torque control of doubly fed induction motor using fuzzy logic controller, which new fuzzy logic controller is used instead the classic integral proportional (IP or PI) controller. The validity of the proposed control algorithm is verified by simulation studies on a 0.8kW DFIM system, which many parameters performances have been studied. The proposed fuzzy logic controller has shown better performances compared to the conventional PI controller overcoming their limitations and its implementation complexity

Citation

Abderrahim ZEMMIT , Sabir MESSALTI , , (2017), New modified direct torque control-fuzzy logic controller of doubly fed induction machine, International Journal of Advanced and Applied Sciences, Vol:4, Issue:7, pages:16-20, Science-Gate

This paper presents a new advanced Direct Torque Control of doubly fed induction motor using Artificial Neural Network controllers, which conventional IP and switching table have been replaced by new Artificial Neural Network controllers to overcome the most drawbacks and limitations of classical DTC control especially high torque and flux ripples, accuracy and the convergence speed under sudden changing torque reference and/or speed reference. The Artificial Neural Network controllers parameters that optimizes the performances of conventional Direct Torque Control of doubly fed induction motor have been optimized in offline mode where several training sets have been tested based on conventional IP and switching table rules, then the best Artificial Neural Network controllers are embedded in DTC-DFIM system in online mode. The proposed ANN controllers have shown better performance compared to conventional DTC in both the transient and steady states, in which numerous benefits related to flux and torque ripples overshoot and response time have been confirmed.

Citation

Abderrahim ZEMMIT , Sabir MESSALTI , , (2016), Innovative improved direct torque control of doubly fed induction machine (DFIM) using artificial neural network (ANN-DTC), International Journal of Applied Engineering Research, Vol:11, Issue:16, pages:9099-9105, Research India Publications

This paper examines two control strategies of doubly fed induction motor (DFIM), the first strategy uses a Direct Torque Control (DTC); the second employs Direct Field- Oriented Control (DFOC) based on stator flux orientation. Modeling of DFIM and details of both control strategies have been presented, which an IP controller is used in speed control loop for both control methods. The performances in terms of torque tracking, accuracy and robustness of both control techniques under normal and various speed and load conditions have been shown and compared. Analysis and comparative study between Direct Torque Control (DTC); the second employs Direct Field-Oriented Control (DFOC)are presented in this paper

Citation

Abderrahim ZEMMIT , Sabir MESSALTI , , (2016), Modeling and Simulation of Doubly Fed Induction Motor (DFIM) Control using DTC and DFOC: a comparative study, International Journal of Applied Engineering Research, Vol:11, Issue:8, pages:5623-5628, Research India Publications

Electrical power play a very important rule in 21thcentury, but non-conventional sources scale down day by day. Not only that concern for the environmental pollution around the world, so now a day’s photovoltaic (PV) power systems are getting more and more widespread with the increase in the energy demand. This paper proposed a Single-Phase nine level inverter with voltage control method using semi conductor power devices for photovoltaic systems. The proposed inverter system gives better voltage regulation, smooth results and efficiency compared to multi-level inverters. The inverter is capable of producing nine levels of output voltage levels (Vpv, 3Vpv/4,Vpv/2, Vpv/4, 0, -Vpv/4, -Vpv/2, -3Vpv/4, -Vpv).The proposed inverter was verified by using simulation of Matlab / Simulink software.

Citation

Abderrahim ZEMMIT , Sabir MESSALTI , Loukris Abdelhamid, Haddadi Mourad, , (2016), Single-Phase nine-level inverter for photovoltaic application, Revue des Energies Renouvelables, Vol:19, Issue:2, pages:181 –189, CDER- Algeria