Research on fuzzy-neural network PI controller for position control of motor drive

The paper proposed a fuzzy neural network (FNN) controller which emulates the conventional PI controller for a vector controlled induction motor drive. A Sugeno type FNN is adopted for the proposed control system and the fuzzy neural network is designed. The proposed FNN-PI controller is used for the position control of induction motor drive. The performance and the robustness of the control system are tested for nonlinear motor loads and parameter variations. The FNN-PI controller is trained off-line using experimental data´s and then the trained controller is used for experimental studies. DS1104 control card is used to implement the control algorithm. Experimental results showing the effectiveness of the proposed control system are presented for parameter and load variations of the motor.