DJALAL EDDINE Khodja

BRAHIMI, MERYEM

ANN based default diagnosis of induction machine with Co-simulation using FPGA

Hammachi, Billal , Sellami, Mehdi

Surveillance et diagnostic des défauts du moteur asynchrone à bague – HTA -

AIB Abdelghani

Implémentation des techniques d’intelligence artificielles sur FPGA en vue de contrôle des systèmes d’entrainements électriques

ABDELKEBIR MOHAMMED CHAMES EDDINE , BOUCHELAGHEM, SAMIR

Mise en Marche d’un Groupe Turboalternateur par un Variateur de Vitesse à Trois Niveaux dans une Centrale Thermique (SPE-SONALGAZ de M’sila)

GHAMRI, Chaima Aicha

Commande robuste du moteur synchrone à aimant permanent

FAID, Ahlam , FERHAT, Noor Elhouda

Commande DTC du moteur asynchrone par réseaux de neurones artificiels implémenté sur FPGA

CHOUIDIRA Irahim

Développement des systèmes d’ identification et de localisation des défauts des systèmes d’entrainements électriques en utilisant différentes techniques d’intelligences artificielles et traitement de signal

MAHDI, YOUNES , ABDELKEBIR, YAKOUB

Implémentation d’un système de diagnostique des défauts de machine asynchrone sur circuit reconfigurable FPGA

HADJI Chaabane

Contribution à la commande robuste de la machine asynchrone à double étoile

MEKHALFIA Fadhila

Commandes tolérantes aux défauts de l’ensemble convertisseur-moteur à induction

NEBBAD SOFIANE , LAIFAOUI DJEMAI

Détection et localisation des défauts d'un système d'entrainement électrique

FADLI Brahim , SAHNOUNE Shoyeb

Implantation des stratdgies de commande sur FPGA pour le contrôle de l'ensemble MAS convertisseurs

DJRIOU Salim

Performance Improvement of Photovoltaic Pumping System

BEZZAH Amine , MEKICHE Aymen

CONCEPTION D'UN SYSTEME AUTOMATISE CNC

DEMANE Ammar , ALILI Abdelhak

Amélioration de la protection diffdrentielle d'un Transformateur De Puissance

Bendjaima Bachir

Commande tolérante de la machine asynchrone en tenant compte des défauts statoriques et rotoriques

BELHOCINE Salah Eddine , METMATI Mohammed Et tahir

Localisation des défauts dans un réseau HTB en Utilisant l''approche neuronale

NOUIOUA Mabrouk , ADOUI Merwane

Proteetion des réseaux électriques HTB en utilisant le reIais de distanee

MEKKI Nassim , GOUASMIA Mohammed

COMMANDE DE LA MSAP PAR MODE GLISSANT EN VITESSE ET EN POSITION

REDUCTION OF POWER QUALITY PROBLEMS USING SHUNT ACTIVE FILTERS BASED ON THE HYSTERESIS CURRENT CONTROLL

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Djalal Eddine KHODJA , ,(2023-12-29), REDUCTION OF POWER QUALITY PROBLEMS USING SHUNT ACTIVE FILTERS BASED ON THE HYSTERESIS CURRENT CONTROLLER,ANKARA INTERNATIONAL CONGRESS ON SCIENTIFIC RESEARCH,Ankara, Türkiye

FAULT TOLERANT OPERATION BASED ON DIRECTC TORQUE CONTROL FOR INDUCTION MACHINE WITH BROKEN BARS

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Djalal Eddine KHODJA , ,(2023-12-29), FAULT TOLERANT OPERATION BASED ON DIRECT TORQUE CONTROL FOR INDUCTION MACHINE WITH BROKEN BARS,ANKARA INTERNATIONAL CONGRESS ON SCIENTIFIC RESEARCH,Ankara, Türkiye

Evaluation of the Effectiveness of Fault-Tolerant Operation of Broken Bars Using Direct Torque Control in an Induction Machin.

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Djalal Eddine KHODJA , ,(2023-12-26), Evaluation of the Effectiveness of Fault-Tolerant Operation of Broken Bars Using Direct Torque Control in an Induction Machine,International Future Engineering Conference,Chirnake, Turky

Hysteresis Control for Compensation of Current Harmonics by Using Active Parallel Filter.

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Djalal Eddine KHODJA , ,(2023-12-26), Hysteresis Control for Compensation of Current Harmonics by Using Active Parallel Filter,International Future Engineering Conference,Chirnake, Turky

Robust fault-tolerant control based on direct torque control DTC by using a multi-winding model for simulate broken bars.

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Djalal Eddine KHODJA , ,(2023-11-23), Robust fault-tolerant control based on direct torque control DTC by using a multi-winding model for simulate broken bars,International Conference on Petrochemistry and Energy Transition (ICPET'23),Skikda

Optimization Fuzzy Pid Regulator By Direct Torque Control (Dtc) Of Induction Machine

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Djalal Eddine KHODJA , ,(2023-11-14), Optimization Fuzzy Pid Regulator By Direct Torque Control (Dtc) Of Induction Machine,Conférence Nationale sur l'Ingénierie de la Production et de la Maintenance Industrielle CNIPMI’2023,Oran, ALGERIE

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. Keywords— Fuzzy Control, FPGA, DTC, power system, XSG

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Djalal Eddine KHODJA , ,(2023-11-07), Fuzzy Direct Torque Control Validation Of Induction Machine By FPGA Hardware Co-simulation,First International Conference on Electrical Engineering and Advanced Technologies, ICEEAT23,Batna, ALGERIE

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. Keywords— FPGA, Hardware Co-simulation, XGS, Fuzzy current analysis, Diagnostics, Asynchronous machine

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Djalal Eddine KHODJA , ,(2023-11-07), FPGA Hardware in the Loop Validation of Fuzzy MCSA current analysis-based fault diagnostic of induction motor,International Conference on Electrical Engineering and Advanced Technologies, ICEEAT23,Batna, ALGERIE

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. Key words: asynchronous machine, fuzzy current analysis, field programmable gate array, hardware co-simulation.

Citation

Djalal Eddine KHODJA , , (2023-11-02), Fuzzy current analysis-based fault diagnostic of induction motor using hardware co-simulation with field programmable gate array, Electrical Engineering & Electromechanics, 2023, Electrical Machines and Apparatus, Vol:10, Issue:6, pages:3-9, Electrical Engineering & Electromechanics,

Abstract. In this paper, we will develop an adaptive control algorithm applied to the wind energy conversion system (WECS) based on a double-fed induction machine (DFIM) driven by a turbine with variable blade pitch, and controlled through the rotor variables by two bidirectional converters. The main function of these converters in the considered system is the connection of the wind generator to the power grid in two different ways: one on the grid side converter which will allow continuous bus control and improve the power factor on the grid side; the other, on the converter on the rotor side, which will allow the control and optimization of the energy flow generated by the stator during the periods of operation of this system. In the first part we presented the individual modeling of the wind turbine chain, then we presented and developed the controls necessary to control the active and reactive powers produced by this system in order to ensure optimum performance and production quality. Streszczenie. W niniejszym artykule opracujemy algorytm sterowania adaptacyjnego zastosowany w systemie konwersji energii wiatru (SKEW) oparty na dwustronnie zasilanej maszynie indukcyjnej (DZMI) napędzanej turbiną o zmiennym skoku łopatek i sterowanej poprzez zmienne wirnika dwoma dwukierunkowymi konwertery. Główną funkcją tych przekształtników w rozpatrywanym systemie jest podłączenie generatora wiatrowego do sieci elektroenergetycznej na dwa różne sposoby: jeden po stronie przekształtnika sieciowego, który umożliwi ciągłą kontrolę magistrali i poprawi współczynnik mocy po stronie sieci; drugi, na przekształtniku po stronie wirnika, co pozwoli na sterowanie i optymalizację przepływu energii generowanej przez stojan w okresach pracy tego układu. W pierwszej części przedstawiliśmy indywidualne modelowanie łańcucha turbiny wiatrowej, następnie przedstawiliśmy i opracowaliśmy sterowanie niezbędne do sterowania mocą czynną i bierną wytwarzaną przez ten system w celu zapewnienia optymalnej wydajności i jakości produkcji. (Adaptacyjne sterowanie rozmyte typu 1 systemem konwersji energii wiatrowej w oparciu o dwustronnie zasilaną maszynę indukcyjną) Keywords: Adaptive control, Modelling, Type 1 Fuzzy logic control, wind energy conversion system. Słowa kluczowe: Sterowanie adaptacyjne, modelowanie, sterowanie Fuzzy logic typu 1, system konwersji energii wiatrowej

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Djalal Eddine KHODJA , , (2023-08-19), Adaptive type-1 fuzzy control of a wind energy conversion system based on a double-fed induction machine, PRZEGLĄD ELEKTROTECHNICZNY, Vol:99, Issue:8, pages:110-115, PRZEGLĄD ELEKTROTECHNICZNY

Currently, the direct torque control is very popular in industry and is of great interest to scientists in the variable speed drive of asynchronous machines. This technique provides decoupling between torque control and flux without the need to use pulse width modulation or coordinate transformation. Nevertheless, this command presents two major importunities: the switching frequency is highly variable on the one hand, and on the other hand, the amplitude of the torque and stator flux ripples remain poorly controlled throughout the considered operating speed range. The novelty of this article proposes improvements in performance of direct torque control of asynchronous machines by development of a fuzzy direct torque control algorithm. This latter makes it possible to provide solutions to the major problems of this control technique, namely: torque ripples, flux ripples, and failure to control switching frequency. Purpose. The emergence of this method has given rise to various works whose objective is to show its performance, or to provide solutions to its limitations. Indeed, this work consists in validation of a fuzzy direct torque control architecture implemented on the ML402 development kit (based on the Xilinx Virtex-4 type field programmable gate array circuit), through hardware description language (VHDL) and Xilinx generator system. The obtained results showed the robustness of the control and sensorless in front of load and parameters variation of induction motor control. The research directions of the model were determined for the subsequent implementation of results with simulation samples. References 19, tables 5, figures 26. Key words: fuzzy control, field programmable gate array, Xilinx system generator, direct torque control, power system.

Citation

Djalal Eddine KHODJA , , (2023-05-06), Field programmable gate array hardware in the loop validation of fuzzy direct torque control for induction machine drive, Electrotechnical Complexes and Systems, Vol:10, Issue:4, pages:28-35, Electrical Engineering & Electromechanics,

Introduction. Newly, the design of a controller for speed control of double star induction motor as a research focus. Consequently, backstepping technique is used to recursively construct a stable control law for speed and flux. Nevertheless, this control law coming from backstepping requires the knowledge of speed and flux values; in practice the measurement sensors are expensive and fragile. The novelty of this work consists to propose a control strategy which based on accurate Kalman filter observer that estimates speed, flux and torque. This extended Kalman filter is an optimal state estimator and is usually applied to a dynamic system that involves a random noise environment. Purpose. Apply a backstepping control of double star induction motor based on principle of rotor flux orientation. This approach consists in finding a Lyapunov function that allows deducing a control law and a modified adaptation rule is referred and sufficient conditions for the stability of the command-observer, in contrast to other techniques who use nonlinear principle. Results. The simulation results are shown to illustrate the performance of the proposed scheme under parametric uncertainties by simulation on MATLAB. The obtained results showed the robustness of the sensorless control in front of load and parameters variation of double stator induction motor. The research directions of the model were determined for the subsequent implementation of results with simulation samples. References 17, tables 1, figures 18. Key words: double stator induction motor, model reference, backstepping control, extended Kalman filter. Вступ. Новітня розробка контролера для регулювання швидкості асинхронного двигуна з подвійною зіркою є предметом дослідження. Отже, метод відступу використовується для рекурсивної побудови стабільного закону керування швидкістю та потоком. Тим не менш, цей закон керування, що випливає з відступу, вимагає знання значення швидкості та потоку; на практиці вимірювальні датчики коштовні та недовговічні. Новизна даної роботи полягає в тому, щоб запропонувати стратегію управління на основі точного спостерігача за фільтром Калмана, який оцінює швидкість, потік і крутний момент. Цей розширений фільтр Калмана є оптимальним засобом оцінки стану і зазвичай застосовується до динамічної системи, яка включає середовище випадкових шумів. Мета. Застосування підходу відступу до керування асинхронним двигуном з подвійною зіркою на основі принципу орієнтації потоку ротора. Цей підхід полягає у знаходженні функції Ляпунова, яка дозволяє вивести закон керування та модифіковане правило адаптації, а також достатні умови для стабільності спостерігача команд, на відміну від інших методик, які використовують нелінійний принцип. Результати. Результати моделювання наведені для ілюстрації роботи запропонованої схеми за параметричних невизначеностей шляхом моделювання на MATLAB. Отримані результати показали надійність безсенсорного керування перед зміною навантаження та параметрів асинхронного двигуна з подвійним статором. Визначені напрямки дослідження моделі для подальшої реалізації результатів на прикладах моделювання. Бібл. 17, табл. 1, рис. 18. Ключові слова: асинхронний двигун з подвійним статором, еталонна модель, керування на основі відступу, розширений фільтр Калмана.

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Djalal Eddine KHODJA , , (2022), Model reference adaptive backstepping control of double star induction machine with extended Kalman sensorless control, Electrotechnical Complexes and Systems, Vol:74, Issue:4, pages:1-11, UDC 621.3

HYBRID FUZZY SLIDING MODE CONTROL OF THE POWER GENERATED BY WIND ENERGY CONVERSION SYSTEM (WECS) BASED OF A DOUBLY FED INDUCTION GENERATOR (DFIG).

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Djalal Eddine KHODJA , ,(2022), HYBRID FUZZY SLIDING MODE CONTROL OF THE POWER GENERATED BY WIND ENERGY CONVERSION SYSTEM (WECS) BASED OF A DOUBLY FED INDUCTION GENERATOR (DFIG,THE 1ST INTERNATIONAL CONFERENCE ON RENEWABLE MATERIALS AND ENERGIES ICRME2022,OUARGLA-ALGERIA

Hybrid Sliding-fuzzy type 1 control of a permanent magnet synchronous machine (PMSM)

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Djalal Eddine KHODJA , ,(2022), Hybrid Sliding-fuzzy type 1 control of a permanent magnet synchronous machine (PMSM),1st International Conference on Scientific and Academic Research,Konya/Turkey

Second order sliding mode control of a wind energy conversion system based on a double fed asynchronous machine

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Djalal Eddine KHODJA , ,(2022), Second order sliding mode control of a wind energy conversion system based on a double fed asynchronous machine,4th International Conference on Applied Engineering and Natural Sciences,Konya/Turkey

Abstract: This article provides a hardware implementation of torque and flux estimators for direct torque control (DTC) of an induction motor (IM) on the Field Programmable Gate Array (FPGA). Due to its high processing frequency, the FPGA circuit presents an alternative strategy for achieving a high performance DTC implementation. This cannot be achieved by Digital Signal Processing (DSP) or Microcontroller application. Optimized hardware architecture is also proposed for implementation of a complete estimator with explicit determination of all the quantities such as the flux phase, the flux amplitude and the torque amplitude. This work presents a precise hardware estimator of the torque and the flux, it developed with negligible estimation error (0.0002 [Wb] RMS estimate error for the stator flux and 0.0005 [Nm] RMS estimate error the torque), in addition to that this estimator is implemented on the Virtex-4 FPGA board with minimal resources(less 5% of slices registers, 5% of DSP48Es and around 17% of LUTS). This estimator is developed and synthesized independently of the command and can be reused for any task which requires the estimation of these quantities. After this the estimator was used to complete a DTC control in a hardware co-simulation procedure with the Xilinx system generator and MATLAB/SIMULINK tools on the Xilinx ML402 development kit. Keywords: FPGA, Hardware co-simulation, Xilinx generator system, Induction motor control, Flux and torque estimatio

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Djalal Eddine KHODJA , , (2021), FPGA Hardware in the Loop Validation of Torque and Flux Estimators for Direct Torque Control (DTC) of an Induction Motor (IM), International Journal of Intelligent Engineering and Systems, Vol:14, Issue:5, pages:583-594, INASS

This article provides a full hardware implementation for direct torque control (DTC) of an asynchronous motor (AM) on the Field Programmable Gate Array (FPGA). Due to its high processing frequency, the FPGA circuit presents an alternative for achieving a high performance DTC implementation. This cannot be achieved by any DSP or microcontroller application. The proposed hardware architecture implements three components of DTC control strategy (the integral proportional speed regulator, the estimation and the switching blocks). This implementation has the advantage of being faster, more efficient and with minimum hardware resources on the target FPGA board. The hardware architecture of the DTC control was designed and simulated in Matlab / Simulink using XSG blocks, then synthesized with the Xilinx ISE 14.2 tool, implemented and validated on the Xilinx Virtex-4 FPGA circuit by Hardware in the Loop process.

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Djalal Eddine KHODJA , , (2021), FPGA Hardware in the Loop Validation of Asynchronous Machine with Full Direct Torque Control Implementation, Advances in Modelling and Analysis B, AMSE, Vol:64, Issue:4, pages:9-16, IIETA

This work is part of the study and implementation of a fuzzy PWM control structure (fuzzy pulse width modulation) of an induction machine (MAS) on a circuit-based platform reconfigurable FPGA type. We first presented a strategy for the hardware implementation of a fuzzy inference system on a programmable logic circuit of FPGA type, through the hardware description language (VHDL) and Xilinx generator system (XSG). Secondly we proposed Fuzzy-PWM architecture for the improvement of response time of an asynchronous machine (MAS) and finally we validate the proposed hardware co-simulation architecture in real time on the ML402 development kit (based on FPGA Xilinx Virtex-4) and Simulink / Matlab.

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Djalal Eddine KHODJA , , (2021), On-Line FPGA Hardware in the Loop Validation of Based Fuzzy-STPWM Induction Motor Control, Advances in Modelling and Analysis B, AMSE, Vol:65, Issue:4, pages:17-26, IIETA

In this paper, Speed Sensorless Vector Control of Double star Induction machine DSIM using sliding mode observer is presented. The search for the gains of conventional Luenberger observer in the sense of stability Lyapunov, oriented to sliding mode observer form, but the sign function caused the chattering effect, the replace it by function smooth are adopted. As a result, application of DSIM speed sensorless vector control using sliding mode has shown that is robust to load disturbances and / or reference speed change. The proposed control scheme is verified by simulation.

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Djalal Eddine KHODJA , , (2021), Speed Sensorless Vector Control of Double Star Induction Machine Using Sliding Mode Observer Based Lyapunov Stability, Modelling, Measurement and Control A, Vol:94, Issue:1, pages:1-7, IIETA

In this paper, we propose sensorless backstepping control of a double-star induction machine (DSIM). First, the backstepping approach is designed to steer the flux and speed variables to their references and to compensate uncertainties. Lyapunov”s theory is used and it demonstrates that the dynamic tracking of trajectories tracking is asymptotically stable. Second, unfortunately, this law control called sophisticated is a major problem which leads to the necessity of using a mechanical sensor (speed, load torque). This imposes an additional cost and increases the complexity of the montage. In practice, this variable is unknown and its measurement is expensive. To restrain this problem we estimate speed and load torque by using a Luenberger observer (LO). Simulation results are provided to illustrate the performance of the proposed approach in high and low variable speeds and load torque disturbance

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Djalal Eddine KHODJA , Salim CHAKROUNE , , (2020), Sensorless backstepping control using a Luenberger observer for double-star induction motor, ARCHIVES OF ELECTRICAL ENGINEERING, Vol:69, Issue:1, pages:101-116, Polish Academy of Sciences

This study offers the opportunity to extend the functioning of the most advanced protection systems. The faults which can arise on the power transmission lines are numerous and varied: Short-circuit; Overvoltage; Overloads, etc. In the context of short circuits, the conventional sensor as the Mho distance relay also known as the admittance relay is generally used. This relay will be discussed later in this study. By taking into account the preventive risks of the Mho relay and discover the new techniques of artificial intelligence, namely the neural network which can contribute to the precise and rapid detection of all types of short-circuit faults. The results of the simulation tests demonstrate the effectiveness of the methods proposed for the automatic diagnosis of faults.

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Djalal Eddine KHODJA , , (2020), Artificial Neuron Network Based Faults Detection and Localization in the High Voltage Transmission Lines with Mho Distance Relay, Journal Européen des Systèmes Automatisés, Vol:53, Issue:1, pages:137-147, IIETA

This study aims to display fuzzy logic (FL) technique for diagnosis of fault induction machine. This allows monitoring of fuzzy information from different signals to give more accurate judgment on the health of the engine, through using a multi-winding model of induction machine for the simulation of broken bars. This model allows study the influence of defects and appear the behavior of the machine in the different modes of running conditions (healthy and fault). In this work, we focus the application of a fuzzy logic technique based on the fast Fourier transformation (FFT) by analyzing the stator current for fault detection. The results of the simulation obtained allowed us to show the importance of the fuzzy logic approach based on classification of signals for detecting the faulty.

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Djalal Eddine KHODJA , , (2020), Fuzzy Logic Based Broken Bar Fault Diagnosis and Behavior Study of Induction Machine, Journal Européen des Systèmes Automatisés, Vol:53, Issue:2, pages:233-242, IIETA

In this work, we proposed multi-winding model for the simulation of broken bars in squirrel cage asynchronous machine, this model allows to study the influence of the broken bar defects on the behavior general of machines in different operating conditions (healthy and faulty). The breaking of the most frequent bars of the rotor causes oscillations of the torque, speed, and the current, the increase of the resistance of the rotor creates the defects proportional with the number of breaks bar K .The diagnosis fault using technique of single processing based on Spectrum analysis for detection broken bar. The results of the simulation obtained allowed us to show the importance of this technique for detection broken bar.

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Djalal Eddine KHODJA , Hani BENGUESMIA , Ibrahim Chouidira, , (2019), Detection and Diagnosis faults in Machine asynchronous based on single processing, International Journal of Energetica, Vol:4, Issue:1, pages:6, El Manahil Association

In this paper we will establish a sliding mode adaptive control based on the direct rotor field control applied to the double stars induction machine. Due to the performance limitations of conventional controllers due to their sensitivities, non-linearity and parametric variations, the indirect "self tuning" adaptive control is applied. Indeed, the recursive least squares algorithm is used to obtain the identification model in order to adapt the RST regulator parameters in real time, and then generate the control law. However, the location of the sliding mode regulators to the control chain by indirect rotor flow orientation offers good static and dynamic performance, and almost total rejection of the disturbance. Finally, all the results obtained showed the robustness of the control in front of the variation of the parameters of the system and load.

Citation

Djalal Eddine KHODJA , , (2019), INDIRECT SELF TUNING ADAPTIVE CONTROL OF DOUBLE STARS INDUCTION MACHINE BY SLIDING MODE, Revue roumaine des sciences et techniques, Vol:64, Issue:4, pages:406-415, EDITURA ACADIMIEI ROMÂNE

The purpose of this study is diagnosis the fault of induction machine, through detection of broken bars by stator current analysis. Therefor we present a multi-winding model for the simulation of faults as part of the fault detection study, and test the behavior of the machine in the healthy and faulty state. In this paper it is focus the signal processing technique for detecting defects. This technique is based on continuous wavelet transform (CWT) to detect and locate defects, by using the multi-level decomposition for the detection of defects and the location of the broken bars at the rotor. The findings of this research results show the importance of this technique for the analysis of fault signatures in healthy and defective cases.

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Djalal Eddine KHODJA , ibrahim chouidira , Salim CHAKROUNE , , (2019), Continuous Wavelet Technique for Detection of Broken Bar Faults in Induction Machine, Traitement du Signal, Vol:36, Issue:2, pages:171-176, International Information and Engineering Technology Association

The objective of this study is to present artificial intelligence (AI) technique for detection and localization of fault in induction machine fault, through a multi-winding model for the simulation of four adjacent broken bars and three-phase model for the simulation of shortcircuit between turns. In this work, it was found that the application of artificial neural networks (ANN) based on Root mean square values (RMS) plays a big role for fault detection and localization. The simulation and obtained results indicate that ANN is able to detect the faulty with high accuracy.

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Djalal Eddine KHODJA , ibrahim chouidira , Salim CHAKROUNE , , (2019), Induction Machine Faults Detection and Localization by Neural Networks Methods, Revue d'Intelligence Artificielle, Vol:33, Issue:6, pages:427-434, International Information and Engineering Technology Association

This article is devoted to the adaptive control with robust reference model based on a vector control applied to a dual-star asynchronous machine; this study is based on the Landau stability theorem. The adaptive control is designed for the speed loop. The identification techniques using closed-loop output error algorithm and MRAC (Model Rerferance Adaptive Control) were reviewed. All these techniques have one thing in common: they place in principle the link between robust control, closed-loop identification and adaptive control. The reference model based on the Landau stability theorem makes it possible to improve the performance of the adaptive control and maintains the robust control with respect to the parametric change of the DSIM (Doubly Star Induction Motor). The main is to ensure a minimum level of performance of the drive system that is malfunctioning. The simulation results clearly show the robustness of the proposed MRAC command against parametric variations of DSIM.

Citation

Chabane BAITICHE , Djalal Eddine KHODJA , salim.chakroune@univ-msila.dz, , (2019), Robust Adaptive Control of Dual Star Asynchronous Machine by Reference Model Based on Landau Stability Theorem, AMSE, Advances in Modelling and Analysis C, Vol:74, Issue:2, pages:20-26, Journal homepage: http://iieta.org/journals/ama_c

In this paper, first of all the motor performance created by permanent magnetic in a slot less air-gap of a surface mounted permanent-magnet synchronous motor with non magnetic rotor and either sinusoidal or mixed (quasi-Halbatch) magnetization using polar coordinates is presented. After that the analysis works for both internal and external rotor motor topologies, the effect of stator slots is introduced by modulating the magnetic field distribution in the less slot stator by the complex relative air-gap permeances and the conformal transformation of the slot geometry. Finally, the predicted results of flux density distribution and cogging torque with those obtained by finite-element are analyzed.

Citation

Samir MABRAK , Salim CHAKROUNE , Djalal Eddine KHODJA , , (2019), Analytical Model of Slotted Surface Mounted Permanent Magnet Synchronous Motors with Non-magnetic Rotor Core, AMSE, Vol:92, Issue:24, pages:24-30, IIETA

The induction machine is the most used in industrial field because of their Safety, reliability, efficiency, and performance. The main objective of our work is the fault detection the rotor bar in induction machine, and describing the various defects that can happen on machine. We propose a multi-winding model of the asynchronous machine for the simulation of broken bar. This model makes to study the influence of a bar fault and evaluation machine behavior in healthy and faulty case. For detection fault using technique of single processing, is based on the spectrum analysis of the stator current. The results of the simulation obtained allowed us to show the importance of this technique and detect the presence of a fault and to locate its source.

Citation

Djalal Eddine KHODJA , Hani BENGUESMIA , Ibrahim Chouidira, ,(2018), Detection faults Rotor bars of induction machine using multi winding model based on spectrum analysis,The 4th International Conference on Mechanics and Energy,Hammamet, Tunisia

In industry, the service continuity of an electrical system drives requires degrees of reliability of operation and high safety. Thus, the system requires robust elements to avoid falling into the defects. But the appearance of defects, it is inevitable. It is therefore necessary to solve this problem by developing a control technique that can ensure continuity of operation in the presence of faults. Indeed, the sliding mode adaptive control based on fuzzy logic ensures the stability of the system healthy and able to compensate certain types of defects: the defects of low severity. In fact, is with the fuzzy sliding controller with varying control gains. This one is based on supervisory fuzzy inference system using the adaptive tune in order to improve the performance of controller in presence of current sensors faults. In addition, the sensors are the most sensitive elements and the seat of frequent faults, and play a leading role in the closed loop control. An operation of a tolerant control the default intended to compensate the default offset sensor. The developed algorithm is validated by simulation and the obtained results showed the effectiveness and the robustness of the proposed approach under different scenarios.

Citation

Djalal Eddine KHODJA , BACHIR Bendjaima , Djamel SAIGAA , , (2017), Fault Tolerant Control Based on Adaptive Fuzzy Sliding Mode Controller for Induction-Motors, International Journal of Intelligent Engineering and Systems, Vol:10, Issue:6, pages:39-48, INASS

In this paper, we discuss the diagnosis of stator and rotor defects in induction machines. After describing the various defects that can occur on these, we propose a multi-winding model of the asynchronous machine that simulates stator faults for short-circuiting or phase-out. Then, we present a model based on the coupled electrical circuit’s method. This model makes it possible to study the influence of a bar fault on the general behavior of the asynchronous motor. In addition, we have studied the phenomena created by these defects on the different temporary variables of the machine, then we particularly interested in the development of new identification techniques. The latter are based on the evaluation of stator current spectrum indices calculated from a Fourier transform in the case of a stator or rotor defect. Finally, the results obtained with this approach make it possible to detect the presence of a defect and to locate its origin.

Citation

Djalal Eddine KHODJA , Fadhila MEKHALFIA , BACHIR Bendjaima , ,(2017), Faults Stator and Rotor Modeling of Induction Machine using Multi-turns Models for Diagnosis and Control,International Journal of Arts & Sciences’(IJAS) International Conference,ROME, ITALY