Original scientific paper
https://doi.org/10.1080/00051144.2020.1806012
Optimization of bias current coefficient in the fault-tolerance of active magnetic bearings based on the redundant structure parameters
Xin Cheng
; School of Mechanical & Electronic Engineering, Wuhan University of Technology, Wuhan, People’s Republic of China
Shuai Deng
; School of Mechanical & Electronic Engineering, Wuhan University of Technology, Wuhan, People’s Republic of China
Baixin Cheng
; School of Mechanical & Electronic Engineering, Wuhan University of Technology, Wuhan, People’s Republic of China
Meiqian Lu
; School of Mechanical & Electronic Engineering, Wuhan University of Technology, Wuhan, People’s Republic of China
Rougang Zhou
; School of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou, People’s Republic of China
Abstract
To improve the reliability of magnetic bearings, the redundant structures are usually designed to provide the desired bearing characteristics continually by the reconfiguration of the remaining structures when some components fail. Bias current coefficient is one of the key coefficients in the fault-tolerant control (FTC) of magnetically levitated bearings, and its inappropriate value will result in the failure of providing the desired bearing force due to saturation constraints. This
paper presents optimization approaches of the bias current coefficient based on the redundant structure parameters. By analysing the range of the bias current coefficient under saturation constraints mathematically, the existence of the optimal solution has been proved, and the model of the electromagnetic force (EMF), load current and the bias current coefficient has been established in this paper. In addition, algorithms to find the optimal solution has been designed for
two kinds of optimization objectives, respectively, in FTC of magnetic bearings. Numerical verifications prove the effectiveness and the versatility of the proposed approaches in the different structures.
Keywords
Magnetic bearings; bias current coefficient; optimization; fault-tolerance
Hrčak ID:
258399
URI
Publication date:
23.9.2020.
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