Multi-Objective Optimization Design of Hybrid Excitation Double Stator Permanent Magnet Synchronous Machine

In this article, a novel hybrid excitation double stator permanent magnet synchronous machine (HEDS-PMSM) is designed. The permanent magnets and field windings work together to provide air gap magnetic field, and different currents are applied to the field windings to enhance or weaken the air gap magnetic field to achieve a wide speed regulation range. Considering the complex structure of double-stator machine, the multi-objective optimization method is proposed to optimize the machine parameters. To optimize the machine accurately and efficiently, the sensitivity analysis of the main design variables of the machine is carried out, and the design variables with high sensitivity are selected. Then, the kriging response surface model is used to analyze the high sensitivity design variables of the machine. In order to obtain the optimal design variables, Non-Dominated Sorted Genetic Algorithm-II (NSGA-II) algorithm is used to optimize the HEDS-PMSM iteratively. Based on the finite element simulation software, the output torque, torque ripple, core loss and other electromagnetic performance of the machine are analyzed. A prototype is made for experimental verification. The experimental results show that the multi-objective optimization design method for the proposed HEDS-PMSM is reasonable and effective.