Sensorless speed control of the switched reluctance motor using extended Kalman filter

It is important to use non position sensor controlling strategy to improve the performance of switched reluctance drive system. A novel method that estimates the speed and rotor of switched reluctance motor using extended Kalman filter is introduced. By the algorithm and method, the non position sensor controlling strategy of switched reluctance motor is realized. The simulated results show that the method has better forecast, emendation, as well as precise track of position and speed of switched reluctance motor. In addition, the method can solve the problem of system parameter variation and system interfere, and measure the effect of observed interfere.