Optimization of Cogging Torque of Permanent Magnet-Assisted Synchronous Reluctance Motor Based on Improved Taguchi Method

To improve the performance of permanent magnet-assisted synchronous reluctance motors for wind power generation during operation and reduce cogging torque, an improved iterative Taguchi optimization algorithm was used to perform multi-objective optimization for permanent magnet-assisted synchronous reluctance motors. Taking slot width, air gap length, permanent magnet thickness, and magnetic isolation bridge width as optimization variables, the electromagnetic torque, cogging torque, and efficiency are analyzed using the optimal factor combination obtained by orthogonal test methods. Ansoft Maxwell verifies the optimal combination, and the optimal combination of the optimal factors with the lowest cogging torque is preferred. The simulation results show that the improved iterative Taguchi method significantly reduces the cogging torque of the motor, significantly improves efficiency compared to before optimization, and effectively improves the motor’s operating performance. The improved Taguchi method improves the calculation accuracy based on the traditional Taguchi method and is more suitable for practical engineering applications.