M. GHELLAB Mohammed zinelaabidine

MCA

Directory of teachers

Department

DEPARTEMENT OF: ELECTRICAL ENGINEERING

Research Interests

Specialized in DEPARTEMENT OF: ELECTRICAL ENGINEERING. Focused on academic and scientific development.

Contact Info

University of M'Sila, Algeria

Email : mohamedzinelaabidine.ghellab@univ-msila.dz

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Recent Publications

2023

Adaptive fuzzy fast terminal sliding mode control for inverted pendulum-cart system with actuator faults

In this work, the adaptive fuzzy fast terminal sliding mode control (AFFTSMC) is used to create a robust fault-tolerant control system for the care and swing-up control problem of the inverted pendulum-cart system is developed in the presence of actuator faults and external disturbances. The proposed controller has the benefit of the fast terminal sliding mode control (FTSMC) method to guarantee faults and uncertainties compensation, small tracking error, chattering phenomenon reduction, and fast transient response. To compensate for the uncertainties and actuator faults effects that can happen in practical tasks of an inverted pendulum-cart system, a new adaptive FTSMC method is proposed, where the prior knowledge of external perturbation and uncertainties is not required. In addition, the developed controller reduces the chattering phenomenon without disappearing the tracking precision and robustness property. Stability demonstration has been effectuated utilizing Lyapunov method. Practical results prove the efficiency of the suggested control algorithm.
Citation

M. GHELLAB Mohammed zinelaabidine, Mohamed Fouad Benkhoris, , (2023), "Adaptive fuzzy fast terminal sliding mode control for inverted pendulum-cart system with actuator faults", [national] Mathematics and Computers in Simulation , Elsevier

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2018

Real time implementation of fuzzy gain-scheduled PID controller for twin rotor MIMO system (TRMS)

The work has done in this paper concern a strategy of control based on gain adaptive proportional integral derivative (PID) using the fuzzy inference system and their application to the Twin Rotor MIMO System (TRMS), the PID controller with fixed parameters may fail to provide acceptable control performance. To improve the PID control effect, new designs of the fuzzy gain Scheduled PID controller (FGSPID) were presented in this paper. The proposed techniques were applied to the TRMS, where adaptive PID controllers were proposed for control system in the presence of external disturbances. The parameters of PID controller were adjusted by a fuzzy system, used to tune in real-time the controller gain. The obtained simulation and experiment results show that the robustness of TRMS angles (pitch and yaw) driven by proposed controller are guaranteed.
Citation

M. GHELLAB Mohammed zinelaabidine, (2018), "Real time implementation of fuzzy gain-scheduled PID controller for twin rotor MIMO system (TRMS)", [national] Advances in Modelling and Analysis C , AMSE

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2017

Adaptive Type-2 Fuzzy Sliding Mode Control Using Supervisory Type-2 Fuzzy Control for 6 DOF Octorotor Aircraft

Control of the helicopter includes nonlinearities, uncertainties and external perturbations that should be considered in the design of control laws. This paper presents a control strategy for 6 DOF octorotor aircraft, based on the coupling of the interval type-2 fuzzy logic control with the so-called sliding mode control (SMC) using a proportional-integral-derivative (PID) sliding surface. The main purpose is to eliminate the chattering phenomenon. For this proposed we have used an interval type-2 fuzzy logic control to generate the switching control signal. Moreover the output gain of the type-2 fuzzy sliding is tuned on-line by supervisory type-2 fuzzy system (adaptive interval type-2 fuzzy sliding mode control), so the chattering is avoided, the simulation results that are compared of conventional SMC with PID sliding surface indicate that the control performance of the 6 DOF octorotor aircraft is satisfactory and the proposed adaptive interval type-2 fuzzy sliding mode control (AIT2FSMC) can achieve favorable tracking performance.
Citation

M. GHELLAB Mohammed zinelaabidine, (2017), "Adaptive Type-2 Fuzzy Sliding Mode Control Using Supervisory Type-2 Fuzzy Control for 6 DOF Octorotor Aircraft", [national] International Journal of Intelligent Engineering and Systems , INASS

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