Optimal Tuning of PI Speed Controller Using Nature Inspired Heuristics

Author

Pant, Millie ; Thangaraj, Radha ; Abraham, Ajith

Author_Institution

Dept. of Paper Technol., IIT Roorkee, Roorkee

Volume

3

fYear

2008

Firstpage

420

Lastpage

425

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.

Keywords

PI control; genetic algorithms; machine control; optimal control; particle swarm optimisation; permanent magnet motors; synchronous motor drives; velocity control; PI speed controller optimal tuning; differential evolution; evolutionary algorithms; genetic algorithms; nature inspired heuristics; particle swarm optimization; permanent magnet synchronous motor drives; proportional integral speed controller; Biological cells; Control systems; Evolutionary computation; Genetic algorithms; Iterative algorithms; Optimal control; Particle swarm optimization; Permanent magnet motors; Pi control; Proportional control; Differential evolution; PI controller; PMSM; Particle swarm optimization; genetic algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems Design and Applications, 2008. ISDA '08. Eighth International Conference on

Conference_Location

Kaohsiung

Print_ISBN

978-0-7695-3382-7

Type

conf

DOI

10.1109/ISDA.2008.69

Filename

4696502