Fuzzy logic based switching angle controller for SR motor speed control

The paper describes a switching angle controller for speed control of switched reluctance motor (SRM). The speed of the SRM can be controlled by phase currents and switching angles. It is difficult to achieve the desired dynamic performances because the developed torque is not proportional to the switching angle. Fuzzy control provides a good approach to the nonlinear system because it does not require mathematical models to formulate the control algorithm. This paper proposes a switching angle controller with fuzzy rules for the high speed control of the SRM. The switching angle controller is developed by a simple adaptive scheme and its fuzzy rule bases are generated by a Lyapunov function. We show that the proposed controller with fuzzy logic has good performance for the nonlinear SRM in experiments.