M. BOUKHALFA Abdelouaheb

MCA

Directory of teachers

Department

DEPARTEMENT OF: ELECTRICAL ENGINEERING

Research Interests

Control of nolinear systems, Fuzzy logic, Adaptive control, discrete-time nonlinear systems, Neural Networks, Renewable Energy Systems...

Contact Info

University of M'Sila, Algeria

Email : abdelouahab.boukhalfa@univ-msila.dz

On the Web:

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Recent Publications

2024-11-05

Performances improvement of DC Motor using a Fractional Order Adaptive PID Controller optimized by Genetic Algorithm

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

M. BOUKHALFA Abdelouaheb, (2024-11-05), "Performances improvement of DC Motor using a Fractional Order Adaptive PID Controller optimized by Genetic Algorithm", [national] Science, Engineering and Technology (SET Journal) , Science, Engineering and Technology (SET Journal)

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2021

Adaptive fuzzy Backstepping control of a nonlinear discrete-time uncertain systems

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

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

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Commande adaptative floue par Backstepping d’une classe de systèmes non linéaires discrets

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

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

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Novel Hybrid Interval Type-2 Fuzzy Adaptive Backstepping Control for a Class of Uncertain Discrete-Time Nonlinear System

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

M. BOUKHALFA Abdelouaheb, (2021), "Novel Hybrid Interval Type-2 Fuzzy Adaptive Backstepping Control for a Class of Uncertain Discrete-Time Nonlinear System", [national] Journal Européen des Systèmes Automatisé , International Information and Engineering Technology Association (IIETA)

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2019

INTEGRAL DISCRETE-TIME SLIDING MODE CONTROL FOR UNCERTAIN SYSTEMS

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

M. BOUKHALFA Abdelouaheb, (2019), "INTEGRAL DISCRETE-TIME SLIDING MODE CONTROL FOR UNCERTAIN SYSTEMS", [national] Soft Computing and Electrical Engineering , Soft Computing and Electrical Engineering

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2018

Synergetic Adaptive Fuzzy Control for a Class of Nonlinear Discrete-time Systems

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

M. BOUKHALFA Abdelouaheb, (2018), "Synergetic Adaptive Fuzzy Control for a Class of Nonlinear Discrete-time Systems", [national] International Journal of Control, Automation, and Systems , Springer

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