Optimal Tuning of PI Speed Controller in PMSM Drive: A Comparative Study of Evolutionary Algorithms

Vol.2 No.1

Year: 2008

Issue: Jul-Sep

Title: Optimal Tuning of PI Speed Controller in PMSM Drive: A Comparative Study of Evolutionary Algorithms   

Author Name: Millie Pant, Radha Thangaraj , Ajith Abraham , Ved Pal Singh   

Synopsis:   

Optimization is one of the most discussed topics in engineering and applied research. Many engineering problems can be formulated as optimization problems. During the last few decades, many general-purpose optimization algorithms have been proposed for finding optimal solutions, some of which are; Evolution strategies, evolutionary programming, Genetic algorithms (GA), Particle Swarm Optimization (PSO) and Differential Evolution (DE).This paper presents a comparative study of three popular, Evolutionary Algorithms (EA); Genetic Algorithms, Particle Swarm Optimization and Differential Evolution for optimal tuning of Proportional Integral (PI) speed controller in Permanent Magnet Synchronous Motor (PMSM) drive. Average gain function and weighted average gain function are also considered to improve the fitness function. Numerical results show the superior performance of DE in comparison to PSO and GA.