Optimization of Electromagnetic Vibration for FSPM Motor by NSGA-II Algorithm

As the theory of the air-gap field modulation, this paper calculates and analyzes the radial electromagnetic force of the motor from the perspective of the three elements. Thus the main sources of FSPM motors’ vibration are found out. In this paper, a FSPM motor with 10-pole 12-slot is studied, and the rotor structure is optimized to weaken the radial force harmonics, which have great influence on electromagnetic vibration. The response surface curve CCD method is introduced to regress the sample data generated by the FEM, and then the radial force harmonics are to minimize and the electromagnetic torque is to maximize. Finally, the multi-objective optimization of the fitting model was carried out by using NSGA-II algorithm with the reduction of torque less than 5% as the constraint function, and the structure parameters of the optimal rotor were obtained. The simulation results show that with ensuring the electromagnetic performance, the optimized motor vibration can effectively be reduced.