A Rotor Position Estimation of SRM with Nonlinear Inductance Variation

비선형 인덕턴스 변화특성을 고려한 SRM의 회전자 위치 추정

This paper presents a simulation results of sensorless control of Switched Reluctance Motor(SRM) using neural network. The basic algorithm of this scheme is based on the flux linkage characteristic according to the phase current and the rotor position. A sufficient simulation data was used for neural network training. Through measurement of the phase flux linkage and phase currents the neural network is able to estimate the rotor position. The simulation result shows some good results, and possibility of this algorithm.