Induction Motor Speed Control Technique Using Intelligent Methods: Intelligent control methods such as FLC,ANN,ANFIS and Optimization control Techniques such as GA,SQP,PSO - Couverture souple

Saif Ghith, Ehab; Mohamed Eissa, Moustafa; S. Virk, Gurvinder

 
9783659413056: Induction Motor Speed Control Technique Using Intelligent Methods: Intelligent control methods such as FLC,ANN,ANFIS and Optimization control Techniques such as GA,SQP,PSO
Couverture souple
ISBN 10 : 3659413054 ISBN 13 : 9783659413056
Editeur : LAP LAMBERT Academic Publishing, 2013

Synopsis

Book relates to the speed control of an induction motor introduced intelligent methods such as Fuzzy Logic Control (FLC), Artificial Neural Networks (ANN), Adaptive Neural Fuzzy Inference System (ANFIS) and Optimization Techniques such as Genetic Algorithm (GA), Sequential Quadratic Programming (SQP) and Particle Swarm Optimization Algorithms(PSO).The results showed that the PSO-PI controller can perform with an efficient way for searching for the optimal PI controller. Comparison study among fuzzy logic, neural network, Adaptive Neural Fuzzy Inference System , genetic algorithm, sequential quadratic programming and particle swarm optimization controllers are performed. These methods can improve the dynamic performance of the system in a better way.The PI-PSO controller is the best method based on integrated of time weight absolute error (ITAE)criteria which presented satisfactory performances and possesses good robustness (no overshoot, minimal rise time, steady state error almost to zero value). A comparison study has been done between selected methods and some other technique which showed that the proposed controller has setting time less than other methods by 40%.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Book relates to the speed control of an induction motor introduced intelligent methods such as Fuzzy Logic Control (FLC), Artificial Neural Networks (ANN), Adaptive Neural Fuzzy Inference System (ANFIS) and Optimization Techniques such as Genetic Algorithm (GA), Sequential Quadratic Programming (SQP) and Particle Swarm Optimization Algorithms(PSO).The results showed that the PSO-PI controller can perform with an efficient way for searching for the optimal PI controller. Comparison study among fuzzy logic, neural network, Adaptive Neural Fuzzy Inference System , genetic algorithm, sequential quadratic programming and particle swarm optimization controllers are performed. These methods can improve the dynamic performance of the system in a better way.The PI-PSO controller is the best method based on integrated of time weight absolute error (ITAE)criteria which presented satisfactory performances and possesses good robustness (no overshoot, minimal rise time, steady state error almost to zero value). A comparison study has been done between selected methods and some other technique which showed that the proposed controller has setting time less than other methods by 40%.

Biographie de l'auteur

*M.Sc. In Systems Engineering and Engineering Management, South Westphalia University of Applied Sciences,Germany,2013.*M.Sc. In System's Automation and Engineering Management,Helwan University, Egypt,2013.*Research topic: "Optimum Induction Motor Speed Control Technique Using Intelligent Methods".

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2013
Langue
anglais
ISBN 10 
3659413054
ISBN 13 
9783659413056
Reliure
Broché
Nombre de pages
240
Coordonnées du fabricant
non disponible
Personne responsable
KreGa Onlinehandel GmbH
4950000000000
info@krega-onlinehandel.de

Birkenweg 31
Brakel
33034
Allemagne