Multi-objective Optimal Design of μ-controller for Active Magnetic Bearing

被引：0
|
作者：
Li Y. [1 ]
Zhu C. [1 ]
机构：
[1] College of Electrical Engineering, Zhejiang University, Zhejiang Province, Hangzhou
来源：
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2023年 / 43卷 / 13期
关键词：
ant colony algorithm; electromagnetic bearing; multi-objective optimization; μ-synthesis method;
D O I：
10.13334/j.0258-8013.pcsee.220188
中图分类号：
学科分类号：
摘要：
A multi-objective optimized design of μ-controller for active magnetic bearing is presented. Rotors suspended with electromagnetic bearings are inherently unstable and closed-loop control is an essential part of their stable operation. Therefore, the design of the controller in the loop becomes an important step. Actually, the actuator dynamics need to be linearized around an operating point. Hence, due to different states during the operation, the changing model parameters bring about uncertainties such as the changing displacement stiffness and current stiffness of the electromagnetic bearing. In order to consider the influence of these uncertainties, the uncertain parameter perturbation method is used to model the system, and then a multi-objective ant colony algorithm is used to perform 6-DK iterations to synthesize the μ-controller. The optimization results ensure that the closed-loop system has a stability margin of 2.57 times at given uncertainties. Simulations and experiments also show that the response performance of the controller proposed in this paper is significantly improved compared with PID, and it has stronger disturbance rejection; thus the rotor system has excellent internal and external stability. ©2023 Chin.Soc.for Elec.Eng.
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页码：5192 / 5202
页数：10
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