Optimal design of single‐phase induction motor using particle swarm optimization
ISSN: 0332-1649
Article publication date: 10 April 2007
Abstract
Purpose
This paper aims to employ particle swarm optimization (PSO) technique for optimum design of single‐phase induction motor (SPIM) on the basis of maximizing the efficiency of the motor simultaneously satisfying a set of performance constraints.
Design/methodology/approach
The design problem of a SPIM is presented as a nonlinear optimization problem on the basis of maximizing the efficiency of the motor. A set of performance constraints are imposed in the optimization procedure. Particle swarm optimization technique is used as an optimization tool for obtaining the motor dimensions corresponding to maximum efficiency. Incorporation of PSO as a derivative free optimization technique in solving SPIM optimum design problem significantly relieves the assumptions imposed on the optimized objective function.
Findings
This approach has been applied to two sample motors and the results are compared with the evolutionary programming (EP) results. It is observed that the proposed approach is effective and robust.
Originality/value
The fields of application of SPIMs are expanding day by day. The emphasis on energy conservation demands an improvement of the efficiency of single‐phase induction motors. Hence, the design optimization of these motors with efficiency as objective function assumes great importance.
Keywords
Citation
Subramanian, S. and Bhuvaneswari, R. (2007), "Optimal design of single‐phase induction motor using particle swarm optimization", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 26 No. 2, pp. 418-430. https://doi.org/10.1108/03321640710727773
Publisher
:Emerald Group Publishing Limited
Copyright © 2007, Emerald Group Publishing Limited