MOHAMMED ZINELAABIDINE Ghellab

BARKAT Aimen , BAALI Souleyman

Étude d’un Système Electromécanique Chariot- Pendule à Deux Degré De Liberté « Application aux Systèmes de Grues à Conteneurs »

SMAINI Marwa , MAMI Soumia

Pilotage et supervision d’un moteur à courant continu par l’automate programmable industriel (API)

CHENITI Haroun , YAHI Abdelhadi

SIMULATION ET COMMANDE EN TEMPS REEL D’UN ENTRAINMENT ELECTRIQUE PAR AUTOMATE SIEMENS

NEGUEZ Said

Association variateur de vitesse et moteur asynchrone et pc avec communication Profinet par automate programmable siemens S7-1200.

GHERBI Abdelatif , ZEGHAD Hamza

Étude de synthèse sur un système de production automatisé de EATIT / Enterprise Algérienne des Textile Industriel et Technique/ Unité M'sila

DJILAT Hamza , BENKHELIL Abou bakr

Mise en œuvre d’une plateforme de développement volante « UAV » type Hexarotor

Ouahid ALIOUI

Mise en œuvre d’une application à base du PROFINET avec automate programmable industriel SIEMENS et variateur de vitesse

This paper introduces a novel fault-tolerant control (FTC) framework for Mecanum wheel omnidirectional vehicles (MWOVs) using an adaptive type-2 fuzzy global fast dynamic terminal sliding mode (AT2-FGDTSMC) methodology. Distinguishing itself from conventional approaches, the proposed controller is specifically designed to manage concurrent multi-actuator failures without the need for system reconfiguration. The scheme ensures robust trajectory tracking under model uncertainties, external disturbances, and complete actuator malfunctions. Extensive simulation studies, including scenarios with abrupt rotor faults, confirm the efficacy of the control strategy, showing preserved tracking performance indistinguishable from nominal fault-free operation.

Citation

MOHAMMED ZINELAABIDINE GHELLAB , ,(2025-12-11), An Adaptive Interval Type-2 Fuzzy Fast Terminal Sliding Mode Controller for Fault-Tolerant Actuator Control in Omnidirectional Vehicles,The 2nd International Conference on Advanced Technology in Electronic and Electrical Engineering (ICATEEE2025),M'sila, Algeria

In a wide range of applications, such as smart buildings, electric vehicles, hybrid systems, and renewable energy, dc dc converters are crucial. The dc dc converters have many topologies, and the boost converter is one of the most important. The problem. The boost converter is connected to other sensitive devices and components, so any fault in the Boost converter will lead to a system issue, which may cause catastrophic damage to humans and related devices. These faults include parameter degradation of passive components, open switch failure, and sensors failures. Goal. The development of a fault detection and identification scheme for a dc-dc boost converter is the main goal of this study. Therefore, it is essential to make sure that the converters are safe from malfunctions and that there are no major accidents or disasters in order for them to carry out their vital jobs. Methodology. The scheme covers a wide range of potential faults, such as parametric degradation of passive components, open switch fault, and sensors failures. We created the scheme as a structured algorithm based on residuals between observers and measurements from the sensors, residuals between open switch fault signature and measurements from the sensors, residuals between assumed values of the sensors and real measurements, and carefully considered thresholds to compare these residuals with. Results. Simulations were used to assess the proposed scheme. The results show the effectiveness of the scheme in detecting and identifying faults quickly and accurately. The originality. of this work lies in the creation of a fault detection and identification scheme using luenberger observers and specific thresholds without the need for additional sensors or devices.

Citation

MOHAMMED ZINELAABIDINE GHELLAB , , (2025-05-15), Fault Detection and Identification Scheme for Boost Converter for Hybrid Vehicles, International Journal of Robotics and Control Systems, Vol:5, Issue:2, pages:1297-1314, Association for Scientific Computing Electronics and Engineering ASCEE

In this paper, a direct fuzzy position controller is developed for Twin Rotor MIMO System (TRMS) in robust path following versus actuator faults. This control method relies on estimating an optimal inverse dynamic control to achieve desired trajectory tracking and stability goals. To achieve this objective, a fuzzy system is employed to approximate the ideal inverse dynamic control to the greatest extent feasible. The parameters of the fuzzy system that is employed may be adjusted online according to a stable adaptation rule. The adjustable parameters are created with the aim of reducing the discrepancy between the fuzzy controller and the ideal inverse dynamic control, which is currently unknown. Firstly, the dynamical modelling of the TRMS is carried out. Secondly, a direct fuzzy adaptive control is applied to the TRMS, thirdly, asymptotic stability is proved by utilizing Lyapunov approach. The proposed control is introduced to the TRMS with 2 degree of freedom (DOF) configuration, where the decoupling step is not requiring. Practical results show good trajectory following capability of the developed controller in attendance of actuator faults and parametric variations.

Citation

MOHAMMED ZINELAABIDINE GHELLAB , , (2025-02-19), Fault Tolerant Control Based on Direct Adaptive Fuzzy Position Controller for a Helicopter-Like Twin Rotor MIMO System: Design and Real Time Experimentation, Iranian Journal of Science and Technology, Transactions of Electrical Engineering, Vol:49, Issue:2025, pages:545–569, Springer International Publishing

This paper deals with the control of nonlinear systems, with a specific emphasis on controlling an underactuated system as a challenging benchmark for assessing controller performances. We present and examine a centralized sliding-mode controller designed for the benchmark system based on the Hurwitz stability concept. Additionally, we introduce adaptive optimization for controller parameters to ensure resilient performance and adaptation to both internal and external disturbances. The effectiveness of the proposed approach is confirmed by simulation and experimental results.

Citation

MOHAMMED ZINELAABIDINE GHELLAB , ,(2024-05-12), Design and Implementation of a Nonlinear Centralized Controller: Underactuated System Case Study,2024 2nd International Conference on Electrical Engineering and Automatic Control (ICEEAC),Setif, Algeria

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

SAMIR Zeghlache , MOHAMMED ZINELAABIDINE GHELLAB , ALI Djerioui , Mohamed Fouad Benkhoris, , (2023), Adaptive fuzzy fast terminal sliding mode control for inverted pendulum-cart system with actuator faults, Mathematics and Computers in Simulation, Vol:209, Issue:4, pages:1-30, Elsevier

This paper presents the synthesis of a robust hybrid adaptive control of Twin Rotor MIMO System (TRMS). Based on the combination of fuzzy logic with sliding mode technique, the proposed approach has the advantages of both controllers. Furthermore, to enhance more the closed loop performance, the control action is adjusted online by a supervisory fuzzy system. Simulation results validate the proposed approach and show its efficiency in different scenarios of control.

Citation

MOHAMMED ZINELAABIDINE GHELLAB , ,(2022-05-06), Adaptive Fuzzy Sliding Mode Control of TRMS,2022 19th International Multi-Conference on Systems, Signals & Devices (SSD),Sétif, Algeria

Ce cours a pour but de permettre a l’étudiant de se familiariser avec les notions de transmission de données numériques, plus particulièrement les différents types de réseaux existants dans le monde industriel. L’accent sera mis sur la compréhension des différentes topologies avec leurs avantages et inconvénients vis-à-vis d’une installation industrielle donnée.

Citation

MOHAMMED ZINELAABIDINEGHELLAB , ,(2021-05-18); bus de communicatios et réseaux indusriels,université mohamed boudiaf M'sila,

In this paper, an Adaptive RBFNN global fast dynamic terminal sliding mode control (ARBFNNGFDTSMC) is designed to situate the main and tail angles of a twin rotor MIMO system (TRMS). The control objective is to stabilize the TRMS in a reference position or follow a predefined trajectory. An adaptive RBFNN has been used in order to identified unknown nonlinear dynamics of the TRMS. In addition, another adaptive control expressions has been added to diminish the wind gusts, external disturbance effects, and to compensate the estimation errors of the adaptive RBFNN. Moreover, the stability analysis in closed-loop is assured by using Lyapunov method. The developed controller is applied to the TRMS with cross coupling between tail and main subsystems without decoupling procedure. Experimental results prove the good control tracking performance in presence of wind gusts and external disturbances.

Citation

MOHAMMED ZINELAABIDINE GHELLAB , , (2021-01-15), Experimental validation of adaptive RBFNN global fast dynamic terminal sliding mode control for twin rotor MIMO system against wind effects, Measurement, Vol:168, Issue:2021, pages:108472, Elsevier

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 inverted pendulum, 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 parameters of PID controller were adjusted by a fuzzy system, used to tune in real-time the controller gain. The obtained experiment results confirm the effectiveness of the proposed method.

Citation

MOHAMMED ZINELAABIDINE GHELLAB , ,(2020-12-13), REAL TIME IMPLEMENTATION OF INVERTED PENDULUM STABILIZATION USING FUZZY GAIN-SCHEDULED PID CONTROLLER,Researchfora International Conference,Marrakech, Morocco

In this article, an adaptive fuzzy control (AFC) is synthesized to stabilize the twin rotor multi-input multi-output system (TRMS), to impose then its beam to follow accurately a desired signal or to reach reference positions in 2 DOF. The stability system in the closed-loop has been proved using Lyapunov method, in which all adaptive laws have been generated in order to improve the robustness versus wind gusts, external disturbances, and uncertainties. In addition, the developed control method does not require to decouple the TRMS into main and tail subsystems. Experimental implementation shows the capability of the developed control algorithm.

Citation

MOHAMMED ZINELAABIDINE GHELLAB , , (2020-11-20), Twin rotor MIMO system experimental validation of robust adaptive fuzzy control against wind effects, IEEE Systems Journal, Vol:16, Issue:1, pages:409-419, IEEE

Les travaux présentés dans cette thèse portent sur la description et la modélisation des hélicoptères multi rotors tels que l’hélicoptère birotor type TRMS et l’hélicoptère octorotor coaxial. Des commandes par régulateur PID, par logique flou et par une commande PID flou- adaptatif (PIDFA) ont été appliquées au système TRMS et où les paramètres du régulateur PID sont optimisés à l’aide d’un système d’inférence flou. En suite, des lois de commande ont été synthétisées telles que la commande par mode glissant (CMG) avec des surfaces linéaires type PID et l’association de la commande floue type-2 à la commande par mode glissant qui est sollicitée pour éliminer l’effet de Chattering, qui se manifeste et représente l’inconvénient majeur de la commande à structure variable appliquée au modèle dynamique de l’octorotor coaxial. Les résultats de simulation obtenus montrent le bon fonctionnement des lois de commande proposées à travers les performances enregistrées, aussi bien pour les expérimentations en temps réel effectuées sur le modèle du TRMS que pour celles des simulations effectuées sur l’octorotor coaxial.

Citation

MOHAMMED ZINELAABIDINEGHELLAB , ,(2020-06-15); Commandes Non Linéaires Robustes Appliquées À un Hélicoptère Autonome,université mohamed boudiaf M'sila,

The work has done in this paper concern a strategy of control based on real time implementation of backstepping sliding mode using the interval type-2 fuzzy logic and their application to the Twin Rotor MIMO System (TRMS), the backstepping sliding mode controller are the problem of the chattering phenomenon, this can damage the actuators and disrupt the operation and performance of the system, so to reduce this problem we combine the fuzzy logic type 2. The proposed techniques were applied to the TRMS, where the real time implementation of type-2 fuzzy backstepping sliding mode controller (T2FBSMC) were proposed for control system in the presence of external distrubances. The interval type-2 fuzzy logic is used to minimize the major problem of sliding mode and employed in the stability analysis. The obtained simulation and experiment results confirm the effectiveness of the proposed method.

Citation

MOHAMMED ZINELAABIDINE GHELLAB , , (2019-04-30), Real Time Implementation of Type-2 Fuzzy Backstepping Sliding Mode Controller for Twin Rotor MIMO System (TRMS), Traitement du Signal, Vol:36, Issue:1, pages:1-11, IIETA

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

MOHAMMED ZINELAABIDINE GHELLAB , SAMIR Zeghlache , ABDERRAHMEN Bouguerra , , (2018), Real time implementation of fuzzy gain-scheduled PID controller for twin rotor MIMO system (TRMS), Advances in Modelling and Analysis C, Vol:73, Issue:4, pages:137-149, AMSE

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

SAMIR Zeghlache , MOHAMMED ZINELAABIDINE GHELLAB , ABDERRAHMEN Bouguerra , , (2017), Adaptive Type-2 Fuzzy Sliding Mode Control Using Supervisory Type-2 Fuzzy Control for 6 DOF Octorotor Aircraft, International Journal of Intelligent Engineering and Systems, Vol:10, Issue:3, pages:47-57, INASS