Paper Title:
Comparation between GA and PSO Controller Optimization for PMSM Driving
  Abstract

This paper presents a comparative study of two popular Evolutionary Algorithms (EA): GeneticAlgorithms (GA) andParticle Swarm Optimization (PSO) for optimal tuning of Proportional Integral (PI) speed controller in Permanent Magnet Synchronous Motor (PMSM) drives.Comparisons between the results obtained by GA method and those by improved PSO method are made. The experimental results show that the PSO method can locate the optimal or near optimal parameter space and achieve a higher quality solution than the GA method.

  Info
Periodical
Edited by
Han Zhao
Pages
300-303
DOI
10.4028/www.scientific.net/AMM.130-134.300
Citation
P. Zhang, Z. Q. Song, "Comparation between GA and PSO Controller Optimization for PMSM Driving", Applied Mechanics and Materials, Vols. 130-134, pp. 300-303, 2012
Online since
October 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Nemat Changizi, Mahbubeh Moghadas, Mohamad Reza Dastranj, Mohsen Farshad
Chapter 14: Modeling, Analysis, and Simulation of Manufacturing Processes
Abstract:In this paper, an intelligent speed controller for DC motor is designed by combination of the fuzzy logic and genetic algorithms. First, the...
2324
Authors: Hong Li, Jia Du
Chapter 1: Computer-Aided Manufacturing
Abstract:Because of the shortage of the online adjustment of parameters in fuzzy logic controller, a fuzzy logic controller based on particle swarm...
509
Authors: Deng Hua Li, Zhan Xian Chen, Shuang Zhai
Chapter 3: Measuring Technology and Mechatronics
Abstract:For the problem of that the traditional brushless DC torque motor controller position servo system is difficult to track accurately the...
1351
Authors: Aqeel S. Jaber, Abu Zaharin B. Ahmad, Ahmed N. Abdalla
Chapter 1: Optimization and Сomputational Techniques in Materials and Manufacturing
Abstract:One of the most important rules in electric power system operation and control is Load Frequency Controller (LFC). Many problems are subject...
80
Authors: Gong She Shi, Lei Huang, Wei Hu
Chapter 7: Control, Automation and Sensors
Abstract:The brushless DC motor (BLDCM) non-linear and the complexity of the working conditions are likely to cause the conventional PID servo control...
838