HOME / PUBLICATIONS /

Publications

2019
Boukhalfa G, Sebti B, Abdesselem C, Said BENAGGOUNE. Genetic Algorithm and Particle Swarm Optimization tuned fuzzy PID Controller on direct torque control of dual star induction motor, ISSN / e-ISSN 2095-2899 / 1993-0666. Journal of Central South University [Internet]. 2019;volume 26 (N°7) :pp. 1886–1896. Publisher's VersionAbstract
This study presents analysis, control and comparison of three hybrid approaches for the direct torque control (DTC) of the dual star induction motor (DSIM) drive. Its objective consists of combining three different heuristic optimization techniques including PID-PSO, Fuzzy-PSO and GA-PSO to improve the DSIM speed controlled loop behavior. The GA and PSO algorithms are developed and implemented into MATLAB. As a result, fuzzy-PSO is the most appropriate scheme. The main performance of fuzzy-PSO is reducing high torque ripples, improving rise time and avoiding disturbances that affect the drive performance.
Kiyyour B, NAIMI D, SALHI A, Louanasse L. Hybrid fuzzy second order sliding mode control speed for Direct torque Control of Dual Star Induction motor, ISSN 1112-9867. Journal of Fundamental and Applied Sciences. 2019.
Kiyyour B, NAIMI D, SALHI A, Louanasse L. Hybrid fuzzy second order sliding mode control speed for Direct torque Control of Dual Star Induction motor, ISSN 1112-9867. Journal of Fundamental and Applied Sciences. 2019.
Kiyyour B, NAIMI D, SALHI A, Louanasse L. Hybrid fuzzy second order sliding mode control speed for Direct torque Control of Dual Star Induction motor, ISSN 1112-9867. Journal of Fundamental and Applied Sciences. 2019.
Kiyyour B, NAIMI D, SALHI A, Louanasse L. Hybrid fuzzy second order sliding mode control speed for Direct torque Control of Dual Star Induction motor, ISSN 1112-9867. Journal of Fundamental and Applied Sciences. 2019.
Imane BERTAL. Implémentation de l’Identification et de la Commande Numériques d’un Moteur à Courant Continu à base d’Arduino-Matlab/Simulink. 2019.
Lamine AOURRAM. Influence des variateurs de vitesse sur la qualité de l'énergie électrique. 2019.
Adel KERKEB, Mohamed DIBAOUI. La maintenance des systèmes hydrauliques et pneumatiques. 2019.
Adel KERKEB, Mohamed DIBAOUI. La maintenance des systèmes hydrauliques et pneumatiques. 2019.
mohamed MAMOUNI, Aziz GHIOUB. La maintenance d’une turbine à gaz par la méthode de Weinbull. 2019.
mohamed MAMOUNI, Aziz GHIOUB. La maintenance d’une turbine à gaz par la méthode de Weinbull. 2019.
Salah BM. New nanotechnology structures CNTFET GaAs. 8th International Conference on Renewable Energy Research and Applications (ICRERA) [Internet]. 2019. Publisher's Version
Abderazak S, Farid N. A New robust adaptive fuzzy synergetic control for nonlinear systems with an application to an inverted pendulum, ISSN / e-ISSN 1746-6172 / 1746-6180. International Journal of Modelling Identification and Control [Internet]. 2019;volume 33 (N°2). Publisher's VersionAbstract
This paper deals with a nonlinear adaptive control design based on synergetic control, which also uses fuzzy systems to approximate the dynamics of nonlinear systems. The stability of the closed-loop system is ensured by the Lyapunov synthesis in the sense that all the signals are bounded, and the controller parameters adjusted by adaptation laws. The proposed algorithm is applied to an inverted pendulum to track a sinusoidal reference trajectory. Simulations and discussion are presented to illustrate the new robust adaptive fuzzy synergetic control described in this work.
Abderazak S, Farid N. A New robust adaptive fuzzy synergetic control for nonlinear systems with an application to an inverted pendulum, ISSN / e-ISSN 1746-6172 / 1746-6180. International Journal of Modelling Identification and Control [Internet]. 2019;volume 33 (N°2). Publisher's VersionAbstract
This paper deals with a nonlinear adaptive control design based on synergetic control, which also uses fuzzy systems to approximate the dynamics of nonlinear systems. The stability of the closed-loop system is ensured by the Lyapunov synthesis in the sense that all the signals are bounded, and the controller parameters adjusted by adaptation laws. The proposed algorithm is applied to an inverted pendulum to track a sinusoidal reference trajectory. Simulations and discussion are presented to illustrate the new robust adaptive fuzzy synergetic control described in this work.
Rabeh SAHTAL, H TOUCHEN. Outils de diagnostic des transformateurs de puissance. 2019.
Rabeh SAHTAL, H TOUCHEN. Outils de diagnostic des transformateurs de puissance. 2019.
Ramzeddine KHETTACHE, Farouk MECHENANE. Réalisation d'une Maquette Pédagogique d'un Système Hybride Eolien Photovoltaique. 2019.
Ramzeddine KHETTACHE, Farouk MECHENANE. Réalisation d'une Maquette Pédagogique d'un Système Hybride Eolien Photovoltaique. 2019.
Fatih CHERRAF. Role de la compensation de l'énergie réactive dans la stabilité des réseaux électriques. 2019.
Abderazak S, Farid N. Speed Control of a doubly fed induction Machine Based on Fuzzy Adaptive, ISSN / e-ISSN 1758-3657 / 1758-8723. International Journal Intelligent Engineering Informatics [Internet]. 2019;volume 7 (N°1 ) :pp.61 - 76. Publisher's VersionAbstract
In this paper, we are interested in the adaptive fuzzy control a technique has been studied and applied, namely adaptive fuzzy control based on theory of Lyapunov. The system based on the stability theory is used to approximate the gains ke and kdce to ensure the stability of the control in particular time, simulations results obtained by using MATLAB environment gives that the fuzzy adaptive control more robust, also it has superior dynamics performances. The results and test of robustness will be presented.

Pages