A Control Strategy Research And Controller Design For Torque Ripple Minimization Of Switched Reluctance Motor Drives

This thesis is about the torque ripple minimization of Switched Reluctance Motors (SRM) under the base speed. Based on the instant torque control strategy, aiming to minimize the torque ripple of SRM during commuting and to obtain excellent dynamic and steady state performances.A nonlinear model of SRM is firstly established using Matlab/Simulink in Chapter 2. In this model both the Torque-Current-Angle data and the Linkage-Current-Angle data are used to represent the nonlinear characteristic of SRM, all the data required are acquired by data interpolating. A method based on experiment is presented subsequently to get the Linkage-Current-Angle data. In Chapter 3 the torque ripple minimization algorithm based on torque observation and instant torque control is studied as well as the fuzzy PID controller does. The simulation results indicate that the algorithm is suitable for the speed regulation of SRM. Within a wide speed range the system has a good regulation character and a high precision of steady state, also the system can well constrain the disturbance of the load torque varying.In Chapter 4 the DSP is selected as the controller to realize the algorithm proposed in Chapter 3. With a careful consideration of the system resource allocation, both the hardware and software are designed.The research of this thesis provides a method to expand the SRM's applying area in the high precision eclectic drive.