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Author Pant, M. ♦ Thangaraj, R. ♦ Abraham, A.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2008
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Evolutionary computation ♦ Control systems ♦ Permanent magnet motors ♦ Particle swarm optimization ♦ PI controller ♦ Biological cells ♦ Genetic algorithms ♦ genetic algorithm ♦ PMSM ♦ Proportional control ♦ Optimal control ♦ Pi control ♦ Differential evolution ♦ Iterative algorithms
Abstract This paper presents a comparative study of three popular, Evolutionary Algorithms (EA); Genetic Algorithms (GA), Particle Swarm Optimization (PSO) and Differential Evolution (DE) for optimal tuning of Proportional Integral (PI) speed controller in Permanent Magnet Synchronous Motor (PMSM) drives. A brief description of all the three algorithms and the definition of the problem are given.
Description Author affiliation: Dept. of Paper Technol., IIT Roorkee, Roorkee (Pant, M.; Thangaraj, R.) || Center of Excellence for Quantifiable Quality of Service, Norwegian Univ. of Sci. & Technol. (Abraham, A.)
ISBN 9780769533827
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2008-11-26
Publisher Place Taiwan
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 216.87 kB
Page Count 6
Starting Page 420
Ending Page 425


Source: IEEE Xplore Digital Library