Switched Reluctance Motors Direct Torque Control Research Based on RBF Neural Network and Fuzzy Adaptive PID Controller

For the defects of conventional direct torque control (DTC) system of switched reluctance motors (SRM), RBF neural network (RBFNN) and fuzzy adaptive PID controller are applied to direct torque control system of SRM in the paper. Switching state table is replaced by RBFNN; fuzzy adaptive PID controller is applied to the outer loop for speed adjustment. In order to verify the validity of the method, simulation is carried out based on the Matlab7.1. Results of experiment show that the control system has good performances.

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