Optimization research of FOC based on PSO of induction motors

The traditional PID controller is difficult to auto-adapt and adjust parameters in Field Oriented Controlled (FOC) induction motor drives. In order to overcome the disadvantage, the Particle Swarm Optimization (PSO) approach was proposed for the dynamic optimization to the auto-adapted gain. Simulation and experiment results indicate that the control system based on the PSO-PID algorithm in FOC for induction motors has strong robustness. It has good track of load variation, fast dynamic response, and high precision of tracking velocity. Moreover, it can be adapted to the occasions of load changing frequently such as electric vehicles.

I. Introduction

With the rapid development of the automotive industry and electronics industry, electric automobile's research has regained increasing interest and various related types of vector control system have been utilized such as slip frequency vector control, sensorless vector control, parameter auto-adapted compensation vector control, etc. In such a situation, with more and more types of newer and better control strategies emerging continuously, vector control strategy is getting updated and enriched because of its excellent capability.