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

Ehab Saif Ghith

ISBN 10: 3659413054 / ISBN 13: 9783659413056

Published by LAP LAMBERT Academic Publishing, 2013

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - 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%.

Seller Inventory # 9783659413056

Bibliographic Details

• Title: 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
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2013
• Language: English
• ISBN 10: 3659413054
• ISBN 13: 9783659413056
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 15D millimeters 220 millimeters width by 150 millimeters height by 15 millimeters depth
• Weight: 375 grams

About this title

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%.

About the Author

*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".