Optimal Tuning of PI Controller for Vector Control System Using Hybrid System Composed of GA and BA

Abstract

This paper focuses on optimal tuning of PI controller in motor vector control system by using hybrid system composed of GA (Genetic Algorithm) and BA (Bacterial Foraging). Generally, vector control of motor has three PI controllers to control speed and current. In this case, engineer has to tune 6-parameters simultaneously on site. Therefore, it is difficult to tune in high speed motor control system. Also, they cannot sometimes obtain optimal parameters of PI controller using only manually or traditional approaches or conventional artificial intelligence such as GA (Genetic Algorithm), FZ (Fuzzy), NN (Neural Network), and etc. because of local solution and low speed computing characteristics. To obtain optimal gain for vector control and good computing characteristics in high speed, this paper deals with applying hybrid system by GA and BA.