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

Millie Pant*, Radha Thangaraj**, Ved Pal Singh***
* Senior Lecturer ,Department of Paper Technology,Indian Institute of Technology,Roorkee,Saharanpur,U.P.
**Research Scholar,Department of paper Technology,Indian Institute of Technology,Roorkee,Saharanpur,U.P.
***Professor,Center of Excellence for Quantifiable Quality of Service,Norwegian University of Science and Technology,Norway.
****Professor,Department of Paper Technology,Indian Institute of Technology,Roorkee,Saharanpur,U.P.
Periodicity:July - September'2008
DOI : https://doi.org/10.26634/jee.2.1.328

Abstract

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.

Keywords

Evolution strategies, evolutionary programming, Genetic algorithms (GA), Particle Swarm Optimization (PSO) and Differential Evolution (DE).

How to Cite this Article?

Millie Pant, Radha Thangaraj and Ved Pal Singh (2008). Optimal Tuning of PI Speed Controller in PMSM Drive: A Comparative Study of Evolutionary Algorithms. i-manager’s Journal on Electrical Engineering, 2(1), Jul-Sep 2008, Print ISSN 0973-8835, E-ISSN 2230-7176, pp. 36-43. https://doi.org/10.26634/jee.2.1.328

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