Multi-objective optimization design of axial flux motor for high-altitude aircraft
To enable the stable operation of axial flux motor for high-altitude aircraft(AFMHA)for special applications,research and experiments from structure to algorithm are carried out.Firstly,based on the initial structure design,the third-order response surface multi-objective optimization algorithm based on objective preference and genetic multi-objective optimization algorithm are used to optimize the design.Then,the stator thickness Hs,permanent magnet thickness Hm,rotor back iron thickness Hf and stator tooth angle θr parameter sensitivity are used as the optimization objectives to optimize the AFMHA.Finally,by analogical method to compare the multiple optimization results of the two optimization algorithms to find the optimal optimization solution,and combined with finite element simulation,it is verified that the optimized motor performance is more stable and meets the conditions of AFMHA use.
high-altitude aircraftaxial flux motormulti objective optimizationfinite element simulation