Efficiency Analysis and Optimization of Axial Flux Permanent Magnet Motor Based on Intelligent Response Surface Method for Robots

This paper focuses on the efficiency analysis and optimization of the Yoke-less Axial-flux Synchronous Motor (YASA), a structured axial flux permanent magnet motor. Firstly, the advantages of the YASA motor, as a new motor topology, are introduced, including high power density, high torque density, efficiency, and a slim design. Secondly, using the YASA motor as an example, a three-dimensional electromagnetic field calculation model is established, and the effects of the slot filling factor, tooth shoe thickness, and tooth shoe width coefficient on motor efficiency are analyzed. By optimizing these design variables, the iron core loss and eddy current loss of the motor are systematically reduced using response surface methodology and genetic algorithms, significantly improving the motor's efficiency. Finally, finite element analysis is used to verify the feasibility of the optimized scheme on a 10-pole, 12-slot motor. The results show that the iron core loss and eddy current loss of the motor are reduced by 36.5% and 37.8%, respectively.