Switched Reluctance Motor Drive for Electric Motorcycle Using HFNN Controller

The switched reluctance motor (SRM) drive system using hybrid fuzzy neural network (HFNN) controller is developed to control electric motorcycle in this paper. First, the dynamic models of a SRM drive system and electric motorcycle are builted though experimental tests and parameters measurements. Then, a HFNN speed control system that combined supervisor control, FNN control and compensated control is developed to control SRM drive system in order to drive electric motorcycle. In the proposed HFNN control scheme, an optimum phase advancing is achieved by continuous adaptation of the optimum conduction position for the FNN. The electric motorcycle is operated to provide constant disturbance torque. Finally, the effectiveness of the proposed control schemes is demonstrated by experimental results.