Radial Active Magnetic Bearing Design Optimization

被引:3
作者
Betancor, Javier [1 ]
Sahinkaya, M. Necip [1 ]
Zweiri, Yahya H. [1 ]
机构
[1] Kingston Univ London, Roehampton Vale Campus Friars Ave, Kingston Upon Thames SW15 3DW, Surrey, England
来源
PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON ROTOR DYNAMICS - IFTOMM, VOL. 1 | 2019年 / 60卷
关键词
Radial active magnetic bearing; Flexible rotor; Optimization; Genetic Algorithm; Pattern Search; SYSTEMS;
D O I
10.1007/978-3-319-99262-4_23
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
This paper presents a design optimization approach to minimize the volume of a radial Active Magnetic Bearing (AMB) by comparing Genetic Algorithm (GA) and Pattern Search (PS) methods. The flexible rotor dynamic analysis is performed to determine AMBs dynamic load under different unbalance cases. Preliminary design parameters are generated and results are compared with optimization results, showing around 35% reduction in volume. The PS method resulted a bigger diameter but shorter bearing length compared with GA. Nevertheless, GA generated a thicker AMB with reduced external diameter. All designs (PD, PS and GA) satisfied design constraints as determined by rotor bearing dynamics while keeping the same bearing load capacity, also validating the PD methodology as a prototyping alternative to optimization strategies.
引用
收藏
页码:321 / 334
页数:14
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