Optimized design of induction motor parameters based on PSO (Particle Swarm Optimization)

Abstract

This paper elaborates using particle swarm optimization (PSO) algorithm to solve the problem that the operating efficiency of induction motor is too low. In this paper, optimizing the structure parameters for induction motor design is proposed. The presented method is based on the principle that the induction motor structure parameters have complex relationship with efficiency; its advantage is that it can find the optimized structure parameters to output maximum efficiency when the motor operates in some conditions. It is demonstrated PSO algorithm is so efficient in finding the optimum structure parameters; for avoiding the algorithm running into local optimization, this paper adjusts the inertia factor during the iterative process. The simulation result shows that using PSO algorithm can find out the optimum structure parameters.