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Veuillez utiliser cette adresse pour citer ce document : http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/15271

Titre: Optimization of fuzzy controller parameters for the vector controlled induction motor drive
Auteur(s): Aguenarous, Mohamed
Zidane, Houssam Eddine
Kheldoun, Aissa (supervisor)
Mots-clés: Fuzzy Logic Controllers (FLC)
Induction Motor
Particle Swarm Optimization
Grey wolf Optimization,
Date de publication: 2024
Editeur: Université M'hamed Bougara Boumerdès: Institue de génie electronic et electric
Résumé: Due to its competitive features, particularly ruggedness and cost-effectiveness ,the induction motor is the most widely used source of variable speed drives in the industry. Three common methods of control are employed based on the required performance level: scalar control, vector control, and direct torque control. The scalar controller is simple to implement but offer slimite dperformance ,whil evecto ran ddirec ttorqu econtro lar eused when high-performance speed control is required. However, both schemes typically rely on PID controllers, which are sensitive to the operating point and parameter variations. This project investigates the use of Fuzzy Logic Controllers (FLC) due to their ro-bust performance and model-free characteristics. Despite their advantages, the main drawback of FLCs is their complex tuning process, which limits their widespread utiliza-tion. To address this limitation, the project proposes optimizing the parameter selection process using meta-heuristic algorithms, specificall yParticl eSwar mOptimizatio n(PSO) and Grey Wolf Optimization (GWO). Three optimization schemes were employed: gains optimization, membership functions (MFs) optimization, and combined gains and MFsoptimization. Indirect Rotor Flux-Oriented Control (IRFOC) was used to carry out this study. The simulation results indicated that the system’s performance improved compared to classi- cal control techniques such as scalar control method. Furthermore, the proposed control scheme significantl yenhance dth esystem’ srobustness .Thi sprojec tacknowledge sthe challenges associated with the precise selection of fuzzy parameters and the optimization process. This work demonstrates that the implementation of Fuzzy Logic Controllers (FLCs) in industrial settings has led to significan tadvancement si ninductio nmoto rtech-nology. FLCs have enabled improved performance, increased robustness, and enhanced efficien cy int heoperati on ofinducti onmotor s,maki ngth e mamo reviab lea ndattractive option for various industrial applications.
Description: 94 p.
URI/URL: http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/15271
Collection(s) :Power

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