Research On Electromagnetic Design And Optimization Of Permanent Magnet Synchronous Motors

Permanent magnet synchronous motor has the advantages of high power density,low vibration,low noise,low loss and high efficiency.However,when the motor is electromagnetically designed,the original electromagnetic scheme of the motor is not the optimal design scheme of the motor due to the influence of various parameters of the motor.There is still a lot of room for optimizing the performance of the motor.Firstly,the basic structure size of the motor is designed in advance through the basic principles and estimation formula of the basic structure of the permanent magnet synchronous motor,and the motor performance parameters are calculated by establishing the motor equivalent magnetic circuit model.Using finite element simulation software,a two-dimensional model of the electromagnetic field simulation of a permanent magnet synchronous motor is designed,and the numerical calculation of the finite element method is completed.By analyzing the distribution of the simulated motor magnetic field lines,the distribution of the motor magnetic density,the air gap magnetic density waveform,and the induced electromotive force waveform situation,etc.,to evaluate whether the motor design meets the design requirements and design rationality.Then use Taguchi method and Taguchi method iterative optimization design two design methods,with stator slot width,stator slot top width,air gap,permanent magnet pole arc coefficient,permanent magnet thickness as optimization parameters to reduce cogging torque,reducing the torque ripple,increasing the torque at the rated current,and increasing the efficiency at the rated operating conditions are the optimization goals.The original motor design plan is optimized.The simulation software verifies the effect of the two optimization algorithms on the performance of the motor before and after optimization.The simulation results show that,compared with the original scheme of the motor,the Taguchi method optimizes the torque ripple and cogging torque values are greatly reduced,the efficiency and Torque performance is slightly improved.Compared with the original scheme,the Taguchi method iterative optimization design reduces the torque ripple and cogging torque more significantly,and the efficiency and torque are slightly improved compared with the Taguchi method.The simulation experiment results verify the feasibility of Taguchi method optimization.Finally,the genetic algorithm is used to search for the optimal parameter combination in the global range,and the parameter combination obtained by simulation is verified.The simulation results show that the effect of Taguchi iterative optimization is closest to the optimal result searched by genetic algorithm,which verifies the effectiveness of Taguchi iterative optimization in improving the accuracy of Taguchi method.By comprehensively comparing the Taguchi method and the genetic algorithm,the Taguchi method has a greater advantage in the ease of operation and the time required for the optimization process,which can provide motor designers with practically feasible optimization methods in their daily design work.