A Sensorless Drive Method for Switched Reluctance Motor Based on Fuzzy Logic

The measurement of rotor position for switched reluctance drive is essential to proper running. This paper introduces a method of detecting the rotor position based on fuzzy logic. In order to improve the measurement accuracy of the rotor position, some unique techniques are adopted. First, an optimized fuzzy model of the motor is created using an Adaptive Neural Fuzzy Inference System (ANFIS). Secondly, the block of angle position selector and predictive filter are used. Position selector can modify the rotor-position, and predictive filter is used to examine and eliminate the noise of the feedback signal. The result of simulation indicates that the position obtained by this method is accurate for the operation of SRM.