Title :
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
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;
Conference_Titel :
Intelligent Systems Design and Applications, 2008. ISDA '08. Eighth International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-0-7695-3382-7
DOI :
10.1109/ISDA.2008.69
