Research On Position Sensorless Technique Of Switched Reluctance Motor

The switched reluctance motor (SRM) drive system has gotten more more attentions because of its excellent characteristics of the firm structure, low cost and flexible control, its application has been limited by the existence of shaft position sensor. the previous schemes of SRD are always equipped with rotor position sensor, which determines the system's high speed performance, reliability and cost. As a result, how to detect the position of non-position sensor rotor has become one major direction in the study of SRD.The configuration and fundamental operating principle of SRM are analyzed in the subject. And the latest developments of the same research field both at home and at abroad are well analyzed at the beginning of the dissertation. The same,this subject puts emphasis on the two different detecting methods of non-position sensor rotor,which are based on Artificial Neural Network(ANN) and non-linear inductance model of SRM.The detecting method of SRM's rotor position based on Artificial Neural Network(ANN) is first studied in this paper. An ANN rotor position modelθ(i,L) 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.In the paper, be directed against of the method, which is based on non-linear inductance model of SRM, which's principle first well is analyzed. The method need active phase currents are measured in real-time and using these measurements, the dynamic equations representing the active phases are solved using numerical techniques in order to obtain rotor position information. The same, it is builded that the system simulation model in the Matlab_Simulink, simulation result is effective. The end, the design of the hardware and software of SRM drive system are introduced, including the TMS320F2812 based control circuit, the power drive circuit, the detecting circuit and the control software.