Design and Optimization Method with Independent Radial and Axial Capacity for 3-DOF Magnetic Bearings in Flywheel

被引:1
作者
Ju, Jintao [1 ]
Xu, Peng [2 ]
Li, Shuqing [1 ]
Xu, Tong [1 ]
Ju, Fangming [1 ]
Du, Jiahui [1 ]
机构
[1] Changzhou Inst Technol, Sch Elect & Informat Engn, Changzhou 212031, Peoples R China
[2] Changzhou Univ, Sch Mech Engn & Rail Transit, Changzhou 213164, Peoples R China
关键词
six-pole radial-axial hybrid magnetic bearing; optimization; genetic algorithm; flywheel battery; MACHINE; SYSTEM;
D O I
10.3390/en16010483
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The six-pole radial-axial hybrid magnetic bearing (RAHMB) has the advantages of small space and low power consumption, making it suitable for flywheel batteries. The bearing capacity and the volume are the main specifications of magnetic bearings that should be considered comprehensively. In this work, the six-pole RAHMB was used in a horizontal flywheel battery. As the axial bearing capacity is relatively smaller than the radial bearing capacity, a design method with independent radial and axial bearing capacity is proposed, and the parameters are optimized to minimize the volume. The mathematical model of six-pole RAHMB was derived from the equivalent magnetic circuit method. The relationships between bearing capacity, biased flux density, saturation flux density and the section area of magnetic poles were analyzed. The basic principle of the design method with independent radial and axial bearing capacity is to determine which five of the variables are preferred. According to the design method, one radial or axial biased flux density should be optimized to minimize the volume, and the genetic algorithm (GA) was adopted to search for the optimal value. The structural parameters were designed based on the optimized value of biased flux density. The total volume of the six-pole RAHMB was reduced by 24%. A 3D finite element (FE) model was built. The analysis results and experimental results show that the proposed design and the optimization method are feasible and valid.
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页数:14
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