Combined control of Single Neuron PID and normal PID of switched reluctance motor

In this paper, a combined control strategy of Single Neuron PID and normal PID is proposed for the switched reluctance motor, which has simple structure, adaptability to environmental changes and strong robustness. The input of outer loop is error of speed while output is torque which enters the inner loop of the Direct Torque Control system to control a three phase 6/4 pole SRM whose capacity is 60KW. For the outer loop, a Single-Neuron controller is adopted when the speed error is small, and a PID controller is adopted when the error is big. Simulation results indicate that the composite control method can solve the problem that normal PID can not solve because SRM is difficult to describe from an accurately math´s equation, so the paradox between the response time and overshoot of speed is managed. The system has shown high control accuracy and good dynamic characteristics are achieved, and the system has better adaptability and good robustness.