Modeling and Multilevel Design Optimization of an AC-DC Three-Degree-of-Freedom Hybrid Magnetic Bearing

被引:13
作者
Wu, Mengyao [1 ]
Zhu, Huangqiu [1 ]
Zhang, Hao [1 ]
Zhang, Weiyu [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
Magnetic flux; Force; Air gaps; Rotors; Magnetic circuits; Mathematical models; Magnetic levitation; Hybrid magnetic bearing (HMB); mathematical model; multilevel optimization; multiobjective particle swarm optimization (MOPSO); response surface (RS);
D O I
10.1109/TIE.2022.3148744
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this article, in order to improve the bearing capacity per unit area and reduce the nonlinearity and couplings of three-pole magnetic bearing, which is driven by a three-phase power inverter, a three-degree-of-freedom (3-DOF) six-pole hybrid magnetic bearing (HMB) is proposed. To realize the larger bearing capacity and smaller volume, a multilevel design optimization is proposed to conduct multiobjective optimization. At first, the structure and working principle of the ac-dc 3-DOF six-pole HMB are introduced. Then, the suspension force mathematical models of the 3-DOF HMB based on the Maxwell tensor method are established. Next, the design variables and optimization objectives are selected, and the comprehensive sensitivity analysis is adopted to divide the design variables into three levels; the response surface method and multiobjective particle swarm optimization algorithm are applied to realize a compromise among the three optimization objectives. Finally, the results of the simulation and experiment verify the validity and correctness of the modeling and optimization design.
引用
收藏
页码:233 / 242
页数:10
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