Multi-objective Optimization Design of Permanent Magnet synchronous Servo Motor Based on Improved Whale Algorithm
In order to improve the average torque of general servo motors and reduce their peak slot torque and total harmonic distortion(THD)of no-load back electromotive force,a multi-objective optimization de-sign method based on the improved whale algorithm for permanent magnet synchronous servo motors was pro-posed.The servo motor was optimized based on improved BP neural network modeling and improved whale algorithm multi-objective optimization process.The electromagnetic properties of the motor before and after optimization were compared and analyzed by finite element software.The average torque is increased by 9.67%,the peak value of tooth groove torque is reduced by 37%,and the THD of no-load back electromo-tive force is reduced by 39%,which proves the accuracy and high efficiency of the proposed optimization de-sign method.
万方数据
维普
