Switched reluctance motor (SRM) has strong nonlinearity, so it is difficult to establish its accurate mathematical model. In the whole speed range of the traditional PID control, the optimal combination of KP, KI and KD is hardly to obtain. The traditional PID regulator with fixed parameters is not suitable for the accuracy and anti-interference of system speed regulation. In order to solve these problems, the control characteristics of three parameters of traditional PID regulator are analyzed. The appropriate and general fuzzy control rules under several states are established, such as starting, speed regulation, load disturbance, etc. Combined with PID control, a fuzzy PID speed regulator of SRM is formed, which realizes the adaptive adjustment of three control parameters KP, KI and KD. So, the better speed regulation characteristics under different loads in the whole speed regulation range are obtained. The simulation results show that the proposed method avoids the speed overshoot and vibration which is caused by the proportional and integral part of the fixed parameter speed regulator under low speed and light load conditions. Meanwhile, it overcomes the speed regulation error caused by simple fuzzy control.