Multi-Objective Optimization Design of Bearingless Permanent Magnet Synchronous Generator

被引:23
作者
Hua, Yizhou [1 ]
Zhu, Huangqiu [1 ]
Xu, Ying [1 ]
机构
[1] Jiangsu Univ, Sch Elect & Informat Engn, Zhenjiang 212013, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Bearingless permanent magnet synchronous generator; multi-objective optimization design; multi-objective particle swarm optimization algorithm; response surface model; MOTOR;
D O I
10.1109/TASC.2020.2970661
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In order to realize the design objectives of high power generation performance and stable suspension capability, a multi-objective optimization method based on a response surface (RS) model and an improved multi-objective particle swarm optimization (MOPSO) algorithm is proposed and utilized to the multi-objective optimization design of a bearingless permanent magnet synchronous generator (BPMSG). Firstly, the operating principle and the mathematical model of the BPMSG are introduced. Secondly, the design variables and the design objectives are determined and the design space is reduced by the sensitivity analysis. Thirdly, the RS models of design objectives are constructed and the improved MOPSO algorithm is applied to get the Pareto optimal sets. Finally, the initial generator and the optimal generator are compared using the finite element analysis software. Compared with the initial generator, the average suspension force of the optimal generator is increased by 21% and the suspension force ripple is decreased by 52%.
引用
收藏
页数:5
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