基于Maxwell的机器人关节电机优化设计OA

The Halbach permanent magnet synchronous motor incorporates the advantages of permanent magnet motors and Halbach permanent magnet arrays,and is widely used in fields such as robot,new energy vehicles,and aerospace.In order to reduce the distortion rate of the air gap magnetic flux density waveform of the 180W robot joint motor,improve the output torque and efficiency,an improved multi-objective optimization method is proposed.By combining the response surface method and the Cuckoo Search Algorithm,the key structural parameters such as the permanent magnet thickness and rotor thickness of the motor are optimized,and a Maxwell finite element model is established for comparative analysis.The research results indicate that this optimization method can effectively improve the air gap flux density distortion rate and torque of the motor,and improve optimization efficiency.