A Comparative Study of Minimization Techniques for Optimization of Induction Motor Design

Abstract

In a previous paper induction motor design optimization was formulated as a problem in nonlinear programming and the method of Sequential Unconstrained Minimization Technique (SUMT) was used to obtain the optimum design. The steepest descent method was used to obtain the minimum. In this paper details of a comparative study of five different unconstrained minimization techniques are given. Both indirect and direct search type methods are used in conjunction with SUMT. It has been found that direct search methods are specially suited for the types of functions occuring in rotating machine design problems.