Structural Optimization and Characteristic Analysis of TMPS-HEG Based on Particle Swarm Optimization Algorithm
摘要
This paper addresses the issue of poor magnetic performance in the tangential concentrated magnetic parallel structure hybrid excitation generator (TMPS-HEG). It proposes improving its excitation performance by adding magnetic barriers to the rotor core yoke. First, the influence of three different magnetic barrier structures on the generator’s air-gap flux density is analyzed. The structure with higher air-gap flux density is selected for further analysis of the generator’s characteristics and voltage regulation. Next, to achieve a higher three-phase no-load back electromotive force (EMF), a multi-objective optimization of the magnetic barrier parameters, the dimensions of the permanent magnets, and the stator slot parameters is carried out using particle swarm optimization (PSO). Finally, the generator characteristics and voltage regulation are compared before and after the addition of the magnetic barrier and optimization. Simulation results show that with an excitation current If = 0 A, the no-load back EMF increased by 44.71% after adding the magnetic barrier. Further optimization led to an additional 18.65% increase in the no-load back EMF. The optimized generator exhibits a more symmetric no-load characteristic curve, with significantly improved weak magnetic performance and a stiffer external characteristic. In terms of regulation, the optimized magnetic barrier reduces the required excitation current for the same load, and the voltage regulation remains below 35%. These results provide new insights for the optimization design of hybrid excitation generators.