Modeling and simulation of SRM DTC control based on RBF Neural Network and Fuzzy Adaptive PID Controller

In the conventional DTC system of SRM, due to the defects of complex computation cause time delay and the SRM are nonlinear, variable structures, RBF Neural Network (RBFNN) and Fuzzy Adaptive PID Controller are applied to DTC control system of SRM in the paper. Conventional state selector is replaced by RBFNN; fuzzy adaptive PID controller is used to adjust speed. The simulations show that the new system performance better.