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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) International Journal of Applied Power Engineering (IJAPE)
Hazzab, Abdeldjebar
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Control & Systems Engineering Electrical & Electronics Engineering

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Fault diagnosis decentralized of manufacturing systems using Boolean models Slimane, Hireche; Habbab, Mohamed; Hazzab, Abdeldjebar; Moussaoui, Ahmed Khalil; Chandra, Ambrish; Gouabi, Hicham; Abdellah, Alhachemi Moulay
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i4.pp2700-2708

Abstract

This paper introduces an approach decentralized to fault detection and isolation (FDI) in manufacturing systems using a Boolean discrete event model. The method incorporates diverse information sources to create distinct models for plant systems and control. The objective is to enhance the understanding of process operations by employing various representation tools tailored to each information source. It is to reduce the number of explosion problems combinatorial and detect faults in the shortest possible time. This comprehensive representation facilitates the fulfillment of three crucial diagnosis functions: detection, localization, and identification. The approach involves Boolean modeling of each process actuator along with its corresponding sensors, a temporal model based on fuzzy expectations of event occurrences, and a set of if...then rules. The goal of this decentralized approach minimize both the complexity and the manual construction effort required for the model. The paper demonstrates the effectiveness of this approach through an illustrative example involving manufacturing systems.
A comparative analysis of ANFIS and fuzzy controllers for a dynamic hybrid model Kaltoum, Laoufi; Mouloudi, Youssef; Hazzab, Abdeldjebar; Abdelkader, Abdallah Ben
International Journal of Applied Power Engineering (IJAPE) Vol 14, No 1: March 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v14.i1.pp244-254

Abstract

Transitioning from combustion engines to electric motors is essential to reduce CO₂ emissions and combat climate change. This study presents a dynamic hybrid model combining a fuel cell and battery for electric vehicles, emphasizing simplified parameter extraction from battery datasheets. The model integrates two energy storage systems: batteries for electrochemical storage and hydrogen for chemical storage, converted into electricity via a fuel cell stack. This dual approach enables flexible refueling options with electricity or hydrogen. An air compressor in the proton exchange membrane (PEM) fuel cell stack optimizes performance across varying driving conditions. The research aims to minimize fuel cell consumption and enhance energy storage efficiency using Sim Power Systems software. It employs traditional proportional integral derivative (PID) controllers and advanced optimization techniques, including fuzzy and ANFIS, to achieve optimal power distribution between the fuel cell system (FCS) and the energy secondary source (ESS) for specific road scenarios. The proposed ANFIS-based approach demonstrates superior control in balancing energy efficiency and driving dynamics, surpassing both PID and fuzzy logic controllers in key metrics. This innovative closed-loop control system offers a promising solution for hybrid electric vehicles, ensuring optimal performance and energy management.
Study of automatic generation control in two area power system with DFIG-based wind energy conversion Kail, Soumia; Bekri, Abdelkader; Hazzab, Abdeldjebar
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 10, No 4: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (417.378 KB) | DOI: 10.11591/ijpeds.v10.i4.pp2118-2125

Abstract

The main objective of Automatic Generation Control (AGC) is to keep the frequency within specified limits through primary and secondary control. In this study, a model of two area thermal non-reheat power system with integration of Doubly Fed Induction Generator (DFIG) based Wind Energy Conversion (WEC) into both areas is presented. A Proportional Integral Derivative (PID) controller and a Fuzzy Logic Controller (FLC) have been applied and compared. The Proposed controllers are used to improve the dynamic response as well as to reduce or eliminate the steady-state error in Area Control Error (ACE). FLC has been offered better and faster performance over the PID controller. The results obtained prove the impact of DFIG-based WEC on AGC and confirm the participation of the DFIG in the frequency system.
Co-Authors Abdelkader, Abdallah Ben Abdellah, Alhachemi Moulay Bekri, Abdelkader Chandra, Ambrish Gouabi, Hicham Habbab, Mohamed Kail, Soumia Kaltoum, Laoufi Mouloudi, Youssef Moussaoui, Ahmed Khalil Slimane, Hireche