Research On Position Sensorless Technique Of Switched Reluctance Motor

This subject puts emphasis on the research of position sensorless technique of switched reluctance motor(SRM) for the further development of position sensorless technique of SRM.Based on linear and quasi-linear method, this paper provides a non-linear inductance model of SRM. The coefficients of the model are gained with least square parameter estimation.The deduction method of SRM's rotor position based on Artificial Neural Network(ANN)is studied in this paper. An ANN rotor position (i, L) model of SRM is built with modified BP neural network. Due to the non-linear influence between phase inductance and rotor position, when a neural network model is used there are more errors where the motor's air interval is bigger. So this paper suggests to apply two neural networks considering the different situation. Emulation result implies this method is effective.Emulation of detecting rotor position based on resistance method to measure phase inductance is also studied. According to this method a design of software and hardware is presented in this paper ,which uses 196KB single chip as micro controller. How to realize sensorless technique of SRM is studied preliminary.