The Dynamic Simulation Of Switched Reluctance Drivers's Nonlinear Model And Study Of Fuzzy Controller Design

This subject is studied according to advisor's project "The theory of switched reluctance motor nonlinear vibration and the research of control strategy ",which is supported by the National Natural Science Fund(59977005). This paper puts emphasis on dynamic simulation based on switched reluctance drivers's (SRD's) nonlinear model, and study of fuzzy control for SRD.Based on switched reluctance motor's linear, nonlinear model, the dynamic simulation model of SRD's is built respectively. The phase current, phase torque , total torque and speed of SRM in current chopping control(CCC) and angular position control(APC) are calculated respectively with this simulation.Some methods, such as adding integrator; making use of neural network to remember fuzzy rule; utilizing Bang-Bang controller and adjusting scale and proportion factors online, are researched to modify normal fuzzy controller for optimizing SRD's dynamic and static performance. The simulation results given in this paper show the SRD with modified fuzzy controller has excellent performance.At last, a direct digital control system of SRM with fuzzy logic controller is designed, which uses 80C196 single chip micro controller.