HILAL Rahali

Chebli Abdennour , Ghanai Oussama

Diagnosis and monitoring of an induction motor hith bearing fault

Benyatttou Et-tahir , Neguez Amdjed

Etude et traitement de courant de fuite d'un isolateur polluéesous haute tension

ARABA TARIQ ZYAD , KHADRAOUI AISSA

Détection de défaut sur un système onduleur triphasé par l’analyse des courants

YOUNES HAMIDI , ABDERRAHMANE SEGHIERI

Amélioration de la rigidité diélectrique des intervalles d’huile du transformateur par l’insertion d’une barrière isolante sous haute tension 50 Hz

SILINI Kamel

Amélioration de la rigidité diélectrique des isolateurs de haute tension sous pollution non uniforme a tension 50 Hz

BELFAR Nouredine , RAHLI Ammar

Amélioration Des performances d’une commande à base de mode glissant d’une machine asynchrone double Etoile

BERRABAH Fares

Décharges diélectriques sur une surface polluée sous tension alternative

CHAHAM Abdellah

commandes non lineaires hybride et robuste de la machine a asynchrone double étoile

Makhloufi salah eddine

comportement d'un modele plan d'isolateur polluée sous tension alternative

TITOUM Tarek , GUELLIL Soufiane

Amélioration des performances d'huile isolant de transformateur par l'insertion d'une barriere isolante

Currently, the analysis of the stator current signal of induction motors (known as MCSA) has gained popularity as a method to evaluate the operational condition of asynchronous motors and prevent potential breakdowns. Traditional approaches for detecting faults in rotating machinery, relying on micro-programmed sequential systems like microprocessors and DSPs, have demonstrated its limits in terms of real-time requirements and processing speed. To address these challenges, it has become essential to embrace cutting-edge technologies, such as ASICs or FPGAs, which offer more efficient diagnostic capabilities. The innovation in our research lies in the development of a fault detection algorithm implemented on FPGA hardware architecture for a induction machines. This algorithm leverages fuzzy logic and analyzes the stator current signal (MCSA), specifically by considering the "Root Mean Square" (RMS) of the stator current as an indicator of potential faults. To validate this architecture, we conducted hardware in the loop validation procedure using Xilinx Virtex-4 ML402 FPGA board and XSG within the Matlab/Simulink environment. Our hardware architecture has significantly enhanced the fault detection performance in induction machines, notably in terms of online real-time detection, detection speed, and resource utilization.

Citation

HILAL RAHALI , ,(2023-11-05), FPGA Hardware in the Loop Validation of Fuzzy MCSA current analysis-based fault diagnostic of induction motor,First International Conference on Electrical Engineering and Advanced Technologies, ICEEAT23,Batna 2 University on November 5-7th, 2023

this work describes the development, implementation and validation of hardware architecture on FPGA for fuzzy DTC control of induction motor. This approach enables addressing the primary challenges associated with this control technique, which include mitigating torque ripples, minimizing flux fluctuations, and achieving precise switching frequency control. The introduction of this method has sparked numerous research endeavors aimed at demonstrating its effectiveness and resolving its inherent limitations. Specifically, this study focuses on validating a fuzzy DTC implementation hardware on the development card ML402, which utilizes an FPGA circuit of the Xilinx Virtex-4 type. This validation is carried out using Xilinx system generator and VHDL description language. The results obtained show the effectiveness of the proposed approach for controlling the induction machine and reducing flux and torque ripples.

Citation

HILAL RAHALI , ,(2023-11-05), Fuzzy Direct Torque Control Validation Of Induction Machine By FPGA Hardware Co-simulation,First International Conference on Electrical Engineering and Advanced Technologies, ICEEAT23,,Batna 2 University, Algeria

Presently, signal analysis of stator current of induction motor has become a popular technique to assess the health state of asynchronous motor in order to avoid failures. The classical implementations of failure detection algorithms for rotating machines, based on microprogrammed sequential systems such as microprocessors and digital signal processing have shown their limitations in terms of speed and real time constraints, which requires the use of new technologies providing more efficient diagnostics such as application specific integrated circuit or field programmable gate array (FPGA). The purpose of this work is to study the contribution of the implementation of fuzzy logic on FPGA programmable logic circuits in the diagnosis of asynchronous machine failures for a phase unbalance and a missing phase faults cases. Methodology. In this work, we propose hardware architecture on FPGA of a failure detection algorithm for asynchronous machine based on fuzzy logic and motor current signal analysis by taking the RMS signal of stator current as a fault indicator signal. Results. The validation of the proposed architecture was carried out by a co-simulation hardware process between the ML402 boards equipped with a Virtex-4 FPGA circuit of the Xilinx type and Xilinx system generator under MATLAB/Simulink. Originality. The present work combined the performance of fuzzy logic techniques, the simplicity of stator current signal analysis algorithms and the execution power of ML402 FPGA board, for the fault diagnosis of induction machine achieving the best ratios speed/performance and simplicity/performance. Practical value. The emergence of this method has improved the performance of fault detection for asynchronous machine, especially in terms of hardware resource consumption, real-time online detection and speed of detection. References 22, tables 3, figures 19.

Citation

HILAL RAHALI , , (2023-10-21), Fuzzy current analysis-based fault diagnostic of induction motor using hardware co-simulation with field programmable gate array, Electrical Engineering & Electromechanics, Vol:6, Issue:1, pages:1-9, Electrical Machines and Apparatus

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

HILAL RAHALI , ,(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,) July 10-15, 2023, Istanbul-Turkey,Istanbul-Turkey

Journée doctorale en génie électrique

Citation

HILAL RAHALI , ,(2023-06-07), Journée doctorale en génie électrique,Journée doctorale en génie électrique,M'sila

This paper proposes design of a novel scheme control based on sliding mode control via fuzzy logic synthesized by backstepping (FBSMC), to regulate the speed of a dual star induction machine (DSIM), to make guaranteeing the stability and the robustness performance machine system. For this purpose, an appropriate combination of the Backstepping sliding mode controller (BSMC) Improved by fuzzy logic is adopted. This control strategy based on the hybrid controllers are used to guaranteeing the machine stable, preferment and robust to obtain a better dynamic response and anti-disturbance performance. We present and discuss the results of the simulations obtained with MatLab/Simulink.

Citation

HILAL RAHALI , ,(2022), Design of Hybrid Sliding Mode Control via Fuzzy Logic Synthesized by Backstepping Approach for Double Star Induction Motor,INTERNATIONAL SYMPOSIUM ON APPLIED MATHEMATICS AND ENGINEERING,Istanbul-Turkey

Stator current analysis for preventive maintenance is an essential tool for industries. Its use is intended to serve three levels of analysis: supervision, diagnosis and monitoring of the state of damage to equipment. The main objective of this paper is to propose a diagnosis and monitoring method based on the analysis of the stator current for the detection and localization of a short-circuit fault occurred on the inverter (insulation fault of a phase). The proposed method uses signal processing techniques (temporal and spectral domain) combined with a machine learning technique to locate the faulty phase. The study begins with the application of the fast Fourier transform (FFT) to detect the harmonic characterizing the short-circuit fault of a phase of the inverter, and then a statistical study based on the skewness calculation is performed at the stator current spectrum for each phase. The second part of the study applies the random forest RF to locate the faulty phase. The features used to train the RF model are the amplitude of the harmonic f150 and the value of the skewness. The results obtained by RF show a good performance with a very high classification rate equal to 98.98%.

Citation

BILAL DJAMAL EDDINE Cherif , HILAL RAHALI , Mostefa TABBAKH , SENINETE Sara, ,(2022), Detection and Localization of Phase Insulation Fault in a Set Inverter-Induction Motor,Fifth International Conference on Electrical Engineering And Control Applications ICEECA’22,Khenchela- Algeria

Journée doctorale en électromécanique

Citation

HILAL RAHALI , ,(2022), Journée doctorale en électromécanique,Journée doctorale en électromécanique,Université de M'sila

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

HILAL RAHALI , , (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, Intelligent Networks and Systems Society

Journée doctorale en génie électrique

Citation

HILAL RAHALI , ,(2021), Journée doctorale en génie électrique,Journée doctorale en génie électrique,Université de M'sila

To ensure the proper control of the system of doubly star induction motor (DSIM), a novel proposed scheme control using the Type-2 Fuzzy logic sliding mode technique (T2FLSMC) for to control the speed of a DSIM, to make guaranteeing the stability and the robustness performance machine system. An appropriate combination of the sliding mode controller (SMC) Improved by type 2 fuzzy logic is adopted for approximate the discontinuous control of SMC to improve the robustness of control systems with high accuracy and can eliminates the chattering effect. The control system is modeled, simulated and validated in MATLAB/Simulink, behavior; the modelling details and the simulations results obtained are presented described in detail after.

Citation

HILAL RAHALI , ,(2020), Robust Sliding Mode Control via Type-2 Fuzzy Logic for Doubly Star Induction Motor,International Conference on Science, Engineering & Technology,,Marrkech, Morocco

Le réseau électrique comprend trois grandes étapes, la production de l’énergie électrique, le transport et la distribution. Chaque équipement est doté d’un ensemble de protections souvent de nature complémentaire et à caractère instantané ou différé. Dans une centrale de production, les protections ont pour but d’éliminer le défaut l’action instantanée d’un relais électromagnétique ou retardée par un relais temporisé et d'éviter la détérioration des alternateurs ou transformateurs en cas de fonctionnement dans de mauvaises conditions, dues à des défaillances internes, tels que défauts d'isolement ou panne de régulation. Le choix d'un plan de protection est directement lié au choix de la structure et du mode d'exploitation du réseau, ainsi que du régime de neutre qui lui est appliqué. Sur des matériels bien conçus, bien fabriqués, bien installés, bien entretenus et bien exploités elles n'ont à fonctionner qu'exceptionnellement, et leur défaillance peut passer inaperçue. De plus, si une protection est défaillante lors d'un incident, les dommages causés à l'alternateur ou au transformateur peuvent avoir des conséquences financières importantes, mais qui restent internes à la compagnie de production d'électricité: perte de production, qui doit être compensée par des moyens de production moins économiques, et réparation de l'appareil endommagé.

Citation

HILALRAHALI , ,(2020); Protection des réseaux Electrique,University of M'sila,

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 proposes Interval type-2 Fuzzy sliding mode controller based on Backstepping (IT2FBSMC), to control the speed of a dual star induction machine (DSIM), in order to get a robust performance machine. An appropriate control strategy based on the coupling of three methods (Backstepping, sliding mode and type-2 Fuzzy controller) is used to build a robust controller used to approximate the discontinuous control eliminating the chattering phenomenon and guaranteeing the stability of the machine. Moreover, it forces the rotor angular speed to follow a desired reference signal. The simulation results obtained using Matlab/Simulink behavior are presented and discussed. The obtained results show that the controller can greatly alleviate the chattering e®ect and enhance the robustness of control systems with high accuracy.

Citation

HILAL RAHALI , , (2019), Backstepping Sliding Mode Controller Improved with Interval Type-2 Fuzzy Logic Applied to the Dual Star Induction Motor, International Journal of Computational Intelligence and Applications, Vol:18, Issue:2, pages:1950012-1/ 1950012-20, World Scientific Publishing Europe Ltd