Multi-objective Design of Induction Motor using Harmony Search Optimization

Abstract

This paper presents a Harmony Search Optimization (HSO) based design methodology for maximizing both the starting torque and the efficiency of Induction Motor (IM). HSO is inspired the musical process of searching for a perfect state of harmony. The harmony in music is analogous to the optimization solution vector, and the musician's improvisations are analogous to local and global search schemes in optimization techniques. Among the number of design variables of the IM, seven variables are identified as primary design variables and the HSO based design methodology is tailored to optimize the chosen primary variables with a view to obtain the global best design. The optimal design obtained by the developed methodology for two IMs are presented with a view of illustrating the superiority.

Design and manufacturing of a single-phase induction motor: A decision aid tool approach

“…A procedure to design water‐cooled submersible SPIM that can be easily applicable has shown in Gundale and Kulkarni, while a variation of stator slot design for improving the overall performance has presented in Wang et al Simulation results for improving the efficiency and torque of SPIMs by investigations on the impact of changing of some parameters on motor design have been also presented in Sobhani et al The analysis of effects of core material on the magnetic flux distribution and the performance of SPIMs has been studied in Singh and Iqbal . Evolutionary and other “artificial intelligence” techniques like particle‐swarm and ant colony optimization have also been used and their results are reported, ie, in previous studies …”