Research Of Cogging Torque Optimization And Control System In Permanent Magnet Synchronous Motor

With the rapid development of permanent magnet materials and related technology, the permanent magnet synchronous motor (PMSM)become widely used in modern industrial control system for its simple structure, high efficiency, and maintenance friendly.In this paper, using the electromagnetic field finite element method to complete the analysis and optimization of rotating permanent magnet synchronous motor, and put forward the method of pole shifting combined with the slit width optimization to reduce cogging torque. Further more, genetic algorithm was adopted for integrated optimization of the rotor magnetic pole structure. In this way, the cogging torque was effectively reduced while the output torque was not influenced greatly. And the method was confirmed to be effective through simulation.On the other hand, the vector control principle of the permanent magnet synchronous motor is analyzed. And the system model was built in MATLAB/SIMULINK environment. Aiming at the shortcoming of the traditional digital PID control and insufficiency, intelligent PID control was introduced. Neural network algorithm combined with fuzzy control was designed to complete PI D parameters adjusted online. This control algorithm makes control system have better response and steady speed. The simulation results revealed that the control algorithm this paper put forward has better control effect than traditional PI control. At the same time, the initial rotor position detection algorithm was presented. The search strategy of the algorithm was discussed and the advantage of the algorithm was verified through simulation. Based on the simulation, the hardware system based on DSP2812control chip was built up, the design principle of every module in the system was analyzed. Experimental analysis in prototype motor was carried out.