Title :
Optimization research of FOC based on PSO of induction motors
Author :
Fang Xie ; Qun-jing Wang ; Guo-li Li
Author_Institution :
Coll. of Electr. Eng. & Autom., Anhui Univ., Hefei, China
Abstract :
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.
Keywords :
induction motor drives; machine vector control; optimal control; particle swarm optimisation; robust control; three-term control; FOC; PSO-PID algorithm; autoadapted gain; dynamic optimization; field oriented controlled induction motor drive; induction motors; optimization research; particle swarm optimization; robust control; Control systems; Induction motors; Machine vector control; Optimization; Particle swarm optimization; Rotors; Torque; EV; FOC; PSO; induction motors;
Conference_Titel :
Electrical Machines and Systems (ICEMS), 2012 15th International Conference on
Conference_Location :
Sapporo
Print_ISBN :
978-1-4673-2327-7