Multi-Objective Optimization Strategy for Permanent Magnet Synchronous Motors Based on Improved Stratification
The cogging torque,as a crucial characteristic of permanent magnet synchronous motors,significantly influences the motor's output torque and noise vibration.In order to reduce the cogging torque of an embedded permanent magnet synchronous motor and enhance the overall motor performance,an optimization method based on an improved layered optimization strategy and multi-objective sparrow algorithm is proposed.Single-parameter sensitivity analysis and combined parameter sensitivity analysis are conducted on optimization parameters such as magnet pole width,permanent magnet width,and tooth width.The optimization objec-tives include cogging torque amplitude,effective value of counter-electromotive force,and distortion rate of counter-electromotive force.Multi-objective optimization experiments are performed.By comparing the traditional layered optimization strategy with the improved one,the results demonstrate the superior optimization effectiveness of the improved layered optimization strategy.