| Title |
Development of Self Tuning and Adaptive Fuzzy Controller to control of Induction Motor |
| Authors |
Jae-Sub Ko ; Jung-Sik Choi ; Dong-Hwa Chung |
| DOI |
http://dx.doi.org/10.5207/JIEIE.2010.24.4.033 |
| Keywords |
Induction Motor Drive ; FNN-PI ; Fuzzy Control ; Neural Network ; AFC ; ANN ; BPA ; Speed Control |
| Abstract |
The induction motor drive applied to field oriented control is widely used in industry applications. However, it is deceased performance and authenticity by saturation, temperature changing, disturbance and parameters changing because modeling of induction motor is nonlinear and complex. In order to control variable speed operation, conventional PI-like controllers are commonly used. These controllers provide limited good performance over a wide range of operation, even under ideal field oriented conditions. This paper proposes self tuning PI controller based on fuzzy-neural network(FNN)-PI controller that is implemented using fuzzy control, neural network, and adaptive fuzzy controller(AFC). Also, this paper proposes estimation of speed using ANN. The proposed control algorithm is applied to induction motor drive system using FNN-PI, AFC and ANN controller. Also, this paper proposes the anlysis results to verify the effectiveness of controller. |