KELTOUM Loukal

MBDAGUINE Ismahan Chahrazad

Commande non linéaire tolérante au défaut d'un bras manipulateur

Mohamed MOKHTARI , Anhar LADJEL, Mohammed El Amine SEBAA

COMMANDE PAR MODE GLISSANT D’UN SYSTEME MECANIQUE

Yasmine MAHMOUDI , Hibatallah Boutheyna AOUINA, Manal KIRECHE

COMMANDE PAR BACKSTEPPING D’UN SATELLITE (SATLAN SYSTEM)

Ben kihoul Abde ssamed

Contribution à La Commande Non Linéaire D’un Bras Manipulateur

SEMATI Tahar

Commande adaptative floue d’un système Hydraulique CE105

BERBICHE Elhadi , CHIKH Abdelmalek

ETUDE DE STABILITE D'UN SYSTEME ÉCHANTILLONNÉ

MOKHTARI Mouna , BAGHDADI Zahra

Commande Non Linéaire D’un Système Hydraulique CE105 à Réservoirs Couplés

AMROUNE AHMED , BADRA ABDELMOUNAIM, TOUIR AHMED

IDENTIFICATION EN BOUCLE FERMEE

Benallia Mohamed El Amin , Benzahia Houd, Berrabeh Ayoub

MODELISATION ET COMMANDE PID D'UN SUSTENTION MAGNETIQUE

Sahraoui Samira

IDENTIFICATION PAR LA METHODE DES MOINDRES CARRES

GUEDOUAR Thouria

Commande IP à Gains Adaptatifs Flous D’une Machine Asynchrone à Double Alimentation

Nadjib BENADEL , Fateh ABDELGHANI, Mohamed BENRAMACHE

ETUDE THEORIQUE DES FILTERS ANALOGIQUES

Mouhamed taqy eddine MAHDI , Soufiane ADJILI, Abd essalem DJAAFRI

COMMANDE D'UN SYSTEME HYDRAULIQUE PAR UN REGULATEUR PID A GAINS ADAPTATIFS PAR LA LOGIQUE FLOUE

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 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

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

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

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

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

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.

Citation

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

The mean of this paper is fuzzy sliding mode control of a Doubly Fed Induction Motor (DFIM); it’s the coupling of the fuzzy logic control and sliding mode control (SMC). The use of the sliding mode method provides very acceptable performance for DFIM control, and the chattering phenomenon effect is also eliminated by the fuzzy logic mode. In the first part, we carried out briefly a study of modeling on the full system. This model is intended to facilitate the procedures for setting and controlling the speed. We introduced the parameter variation to test the robustness of the control laws. The results of our simulations are conducted to validate the theory and indicate that the control performance of the DFIM is satisfactory and the proposed fuzzy sliding mode control (FSMC) can achieve favorable tracking performance.

Citation

Keltoum LOUKAL , ABDERRAHMEN Bouguerra , BENALIA Leila, , (2017), Speed Control of a Doubly-Fed Induction Motor (DFIM) Based on Fuzzy Sliding Mode Controller, International Journal of Intelligent Engineering and Systems, Vol:10, Issue:3, pages:20-29, INASS

This paper presents a comparison between a fuzzy-IP gain adaptive controller and a conventional IP controller used for speed control with a direct stator flux orientation control of a doubly fed induction motor. In particular, the introduction part of the paper presents a Direct Stator Flux Orientation Control (DSFOC), the first part of this paper presents a description of the mathematical model of DFIM, and an adaptive IP controller is proposed for the speed control of DFIM in the presence of the variations parametric, A fuzzy inference system is used to adjust in real-time the controller gains. The obtained results show the efficacy of the proposed method.

Citation

Keltoum LOUKAL , ABDERRAHMEN Bouguerra , Leila-BENALIA, , (2017), Speed Control of a Doubly Fed Induction Motor Based on Fuzzy Gain- Adaptive IP, International Journal of Information Technology and Electrical Engineering, Vol:6, Issue:3, pages:43-50, ITEE

This paper presents a comparison between an Interval Type-2 Fuzzy Gain-Adaptive IP (IT2FGAIP) controller and a conventional IP controller used for speed control with a direct stator flux orientation control of a doubly fed induction motor. In particular, the introduction part of the paper presents a Direct Stator Flux Orientation Control (DSFOC), the first part of this paper presents a description of the mathematical model of DFIM, and an adaptive IP controller is proposed for the speed control of DFIM 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. Keywords: doubly fed induction motor; DFIM; direct stator flux orientation control; interval type-2 fuzzy gain-adaptive IP controller; IT2FGAIP; IP controller.

Citation

Keltoum LOUKAL , Leyla. BENALIA, , (2016), INTERVAL TYPE-2 FUZZY GAIN-ADAPTIVE CONTROLLER OF A DOUBLY FED INDUCTION MACHINE (DFIM), Journal of Fundamental and Applied Sciences, Vol:8, Issue:2, pages:470-493, ISSN 1112-9867

The fuzzy controllers have demonstrated their effectiveness in the control of nonlinear systems, and in many cases have established their robust and that their performance is less sensitive to parameter variations over conventional controllers. In this paper, Interval Type-2 Fuzzy Logic Controller (IT2FLC) method is proposed for controlling the speed with a direct stator flux orientation control of doubly-fed induction motor (DFIM), we made a comparison between the Type-1 Fuzzy Logic Control (T1FLC) and IT2FLC of the DFIM, first a modeling of DFIM is expressed in a (d-q) synchronous rotating frame. After the development and the synthesis of a stabilizing control laws design based on IT2FLC. We use this last approach to the control of the DFIM under different operating conditions such as load torque and in the presence of parameter variation. The obtained simulation results show the feasibility and the effectiveness of the suggested method.

Citation

Keltoum LOUKAL , Benalia Leila, , (2015), Type-2 Fuzzy Logic Control of a Doubly-Fed Induction Machine (DFIM), IAES International Journal of Artificial Intelligence (IJ-AI), Vol:4, Issue:4, pages:139~152, ISSN: 2252-8938

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Citation

Keltoum LOUKAL , Leila. BENALIA, ,(2015), speed control of doubly fed induction motor based on fuzzy logic contoller,the first national coference on electronics and new technologies (NCENT'2015),M'sila, Algeria

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

Citation

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.

Citation

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