Multi-Objective Optimization Design of Surface-Mounted and Interior Hybrid Permanent Magnet Synchronous Motor
Aikang Xu,
Chaozhi Huang,
Bo Yi,
Fangrong Wang and
Zhifeng Liu
Aiming at the problems of low ability of speed control by means of magnetic field weakening of surface-mounted permanent magnet synchronous motor and large torque pulsation and more magnetic leakage of interior permanent magnet synchronous motor, a new structure of surface-mounted and interior hybrid permanent magnet synchronous motor is proposed. By establishing a finite element model of the motor and simulating it, and comparing the electromagnetic characteristic curves of the motor after simulation with those of the surface-mounted permanent magnet synchronous motor and interior permanent magnet synchronous motor, the results show that the motor proposed in this paper has the advantages of both good weak magnetic performance and higher torque output. In the optimization of surface-mounted and interior hybrid permanent magnet synchronous motor, with the goal of achieving high torque value, low torque ripple, and low cogging torque, a multi-objective optimization strategy combining genetic algorithm (GA) optimized back-propagation (BP) network and non-dominated sorting genetic algorithm (NSGA-II) is adopted. Firstly, a comprehensive sensitivity analysis of the degree of influence of the design variables on the optimization objective is carried out, based on which the parameter variables are stratified, and then an accurate prediction model of the parameter variables and optimization objective is established by using GA-BP. Finally, the multi-objective optimization is carried out by NSGA-II, and the optimal design is selected from the generated Pareto frontiers. After comparing the electromagnetic performances of the motor before and after optimization, the effectiveness as well as the superiority of the multi-objective optimization design method is verified.