ABDELOUAHEB Boukhalfa

MOHAMED Isselmou B’neijara

Amélioration des performances des systèmes industriels par la commande PID adaptative fractionnaire

LAOUFI AHMED Rami

Conception de contrôleur flou adaptatif robuste pour une classe de systèmes non linéaires incertains SISO

SACI Toufik , SACI Toufik, SACI Toufik

Approximation Methods of Fractional Order Systems

NAIDJI Ilyes , CHERIF Ala Eddine

Commande Robuste Fractionnaire d'une Classe de Systèmes d'Ordre Fractionnaire

BENSADEK Anouar Kamel , BENZIANE Lakhdar

Commande Adaptative Floue Directe des Systèmes Nonlinéaires avec signes inconnus de gains de commande

GOUFFI IMAD EDDINE , ABD ELKARIME ASMA

CONTROL DFIG WIND TURBINE SYSTEM WITH GENERALIZED PREDICTIVE CONTROLLER RST TYPE

Gouffi Imad Eddine , Abd Elkarime Asma

Control DFIG Wind Turbine System With Generalized Predictive Controller RST Type

CHABBI Aymen , BOULAARES Oussama

Commande adaptative floue de poursuite pour une classe de systèmes non linéaires

TOUIR Ahmed , AOUADJ Akram

Commande adaptative floue tolérante aux défauts pour une classe de systèmes non linéaires

BENZAHIA Houd , BELOUADAH Brahim

Utilisation des méthodes d'identification pour l’approximation des systèmes linéaires d’ordre fractionnaire

HOUICHE Chaima , FAID Lemia

Commande MPPT intelligente d’une classe de systèmes photovoltaïques

Al-Shami Omar Ahmed , Al-Ammari Emad Yahia

Robustification de la commande adaptative pour une classe de systèmes non linéaires

MOKRANE Hamza , DECHOUCHA Belkacem

Commande adaptative floue en poursuite pour une classe de systèmes non linéaires

BENSENI Hacene , ZERROUKI Khaled

Commande adaptative basée sur l’approximation floue d’une classe de systèmes non linéaires Discrets

In the past 20 years, scientists and engineers have rediscovered fractional calculus and have begun using it in more and more domains, most notably control theory. This study introduces a fractional adaptive PID (FAPID) controller which incorporates an additional parameter to enhance the performance of a conventional adaptive PID (APID) controller. A comparative analysis is conducted between the APID and FAPID controllers optimized using the metaheuristic Genetic Algorithm (GA). The evaluation uses a linearized model of the DC motor control system. The results demonstrate that FAPID controllers significantly outperform conventional APID controllers, particularly regarding rise time, settling time, overshoot, and mean absolute error. Among the proposed designs, the integration of FAPID proves to be the most effective in achieving a balance between responsiveness and stability, exhibiting exceptional robustness and adaptability to variations in DC motor and environmental conditions. This method can be extended to various fractional and integer systems to enhance their efficiency and reduce noise disturbance.

Citation

Abdelouaheb BOUKHALFA , ADMIN Admin , Khatir KHETTAB , , (2024-11-05), Performances improvement of DC Motor using a Fractional Order Adaptive PID Controller optimized by Genetic Algorithm, Science, Engineering and Technology (SET Journal), Vol:1, Issue:5, pages:1-8, Science, Engineering and Technology (SET Journal)

A Novel hybrid backstepping interval type-2fuzzy adaptive control (HBT2AC) for uncertain discrete-time nonlinear systems is presented in this paper. The systems are assumed to be defined with the aid of discrete equations with nonlinear uncertainties which are considered as modeling errors and external unknown disturbances, and that the observed states are considered disturbed. The adaptive fuzzy type-2 controller is designed, where the fuzzy inference approach based on extended single-input rule modules (SIRMs) approximate the modeling errors, non-measurable states and adjustable parameters are estimated using derived weighted simplified least squares estimators (WSLS). We can prove that the states are bounded and the estimation errors stand in the neighborhood of zero. The efficiency of the approach is proved by simulation for which the root mean squares criteria are used which improves control performa

Citation

Abdelouaheb BOUKHALFA , , (2021), Novel Hybrid Interval Type-2 Fuzzy Adaptive Backstepping Control for a Class of Uncertain Discrete-Time Nonlinear System, Journal Européen des Systèmes Automatisé, Vol:54, Issue:5, pages:733-741, International Information and Engineering Technology Association (IIETA)

Dans ce travail, un algorithme de commande adaptative floue basé sur la technique du backstepping est présenté pour une classe de systèmes non linéaires discrets incertains sous la forme de rétroaction stricte. En introduisant la technique du «paramètre d'apprentissage minimal (MLP)», le schéma proposé est capable de contourner le problème de la «fléau de la dimension» pour les systèmes non linéaires. Entre-temps, toutes les lois de commande virtuelles et la loi de commande réelle dans le système sont mises à jour par une nouvelle loi de mise à jour adaptative réelle, ainsi le nombre de paramètres mis à jour en ligne pour l'ensemble du système est réduit à un. Les systèmes flous Takagi-Sugeno (T-S) sont utilisés pour approximer les fonctions inconnues du système. On a montré via la théorie de Lyapunov que tous les signaux dans le système en boucle fermée sont bornés. Enfin, un exemple de simulation est utilisé pour illustrer l'efficacité et les avantages du schéma proposé.

Citation

Abdelouaheb BOUKHALFA , ,(2021), Commande adaptative floue par Backstepping d’une classe de systèmes non linéaires discrets,SÉMINAIRE INTERNATIONAL SUR L’INDUSTRIE ET LA TECHNOLOGIE,Tlemcen

In this work, an adaptive fuzzy control algorithm based on the backstepping technique is presented for a class of uncertain discrete nonlinear systems in strict feedback form. By introducing the technique of the "minimal learning parameter (MLP)", the proposed scheme is able to circumvent the problem of the "curse of dimension" for nonlinear systems. In the meantime, all the virtual control laws and the actual control law in the system are updated by a new real adaptive updated law, thus the number of parameters updated online for the whole system is reduced to one. Takagi-Sugeno (T-S) fuzzy systems are used to approximate unknown functions of the system. It has been shown via Lyapunov theory that all signals in the closed-loop system are bounded. Finally, a simulation example is used to illustrate the efficiency and advantages of the proposed scheme.

Citation

Abdelouaheb BOUKHALFA , ,(2021), Adaptive fuzzy Backstepping control of a nonlinear discrete-time uncertain systems,1st International Conference on Sustainable Energy and Advanced Materials IC-SEAM’21,Ouargla

The study focuses on an integral sliding control method for discrete-time systems since continuous system are more affected by uncertainties and disturbances. In this work past value of the disturbance is to be taken as an estimate of its current value while a sliding mode controller is designed to guarantee the existence of a sliding mode motion despite the presence of uncertainties. A simulation example is given at the end to prove the effectiveness of the proposed method.

Citation

Abdelouaheb BOUKHALFA , , (2019), INTEGRAL DISCRETE-TIME SLIDING MODE CONTROL FOR UNCERTAIN SYSTEMS, Soft Computing and Electrical Engineering, Vol:2, Issue:1, pages:1-9, Soft Computing and Electrical Engineering

In this paper, a discrete-time adaptive fuzzy synergetic controller for a class of uncertain nonlinear dynamic systems is developed. Nonlinear systems, with configurations and parameters that fluctuate with time require a fully nonlinear model and a discrete-time adaptive control scheme for a practical operating environment. Therefore, an adaptive controller, which considers the nonlinear nature of the plant and adapts its parameters to changes in the environment is necessary and is addressed in this work. Depending on the Lyapunov synthesis, fuzzy sets universal approximation properties are used in a discrete adaptive scheme to approximate the nonlinear system while synergetic control guarantees robustness and the use of a chatter free discrete-time control law which makes the controller easy to implement. A simulation results of a real world example are indicated, to show the effectiveness of the proposed method.

Citation

Abdelouaheb BOUKHALFA , , (2018), Synergetic Adaptive Fuzzy Control for a Class of Nonlinear Discrete-time Systems, International Journal of Control, Automation, and Systems, Vol:16, Issue:4, pages:1981-1988, Springer