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CLC number: TP273

On-line Access: 2018-02-06

Received: 2017-05-21

Revision Accepted: 2017-07-13

Crosschecked: 2017-12-20

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Citations:  Bibtex RefMan EndNote GB/T7714

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Frontiers of Information Technology & Electronic Engineering  2017 Vol.18 No.12 P.2035-2045


Model-free adaptive control for three-degree-of-freedom hybrid magnetic bearings

Author(s):  Ye Yuan, Yu-kun Sun, Qian-wen Xiang, Yong-hong Huang, Zhi-ying Zhu

Affiliation(s):  School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China; more

Corresponding email(s):   sykujs421@163.com

Key Words:  Model-free adaptive control, Hybrid magnetic bearings, Nonlinear areas, Faster response, Higher stability

Ye Yuan, Yu-kun Sun, Qian-wen Xiang, Yong-hong Huang, Zhi-ying Zhu. Model-free adaptive control for three-degree-of-freedom hybrid magnetic bearings[J]. Frontiers of Information Technology & Electronic Engineering, 2017, 18(12): 2035-2045.

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author="Ye Yuan, Yu-kun Sun, Qian-wen Xiang, Yong-hong Huang, Zhi-ying Zhu",
journal="Frontiers of Information Technology & Electronic Engineering",
publisher="Zhejiang University Press & Springer",

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%T Model-free adaptive control for three-degree-of-freedom hybrid magnetic bearings
%A Ye Yuan
%A Yu-kun Sun
%A Qian-wen Xiang
%A Yong-hong Huang
%A Zhi-ying Zhu
%J Frontiers of Information Technology & Electronic Engineering
%V 18
%N 12
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%@ 2095-9184
%D 2017
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1700324

T1 - Model-free adaptive control for three-degree-of-freedom hybrid magnetic bearings
A1 - Ye Yuan
A1 - Yu-kun Sun
A1 - Qian-wen Xiang
A1 - Yong-hong Huang
A1 - Zhi-ying Zhu
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 18
IS - 12
SP - 2035
EP - 2045
%@ 2095-9184
Y1 - 2017
PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.1700324

Mathematical models are disappointing due to uneven distribution of the air gap magnetic field and significant unmodeled dynamics in magnetic bearing systems. The effectiveness of control deteriorates based on an inaccurate mathematical model, creating slow response speed and high jitter. To solve these problems, a model-free adaptive control (MFAC) scheme is proposed for a three-degree-of-freedom hybrid magnetic bearing (3-DoF HMB) control system. The scheme for 3-DoF HMB depends only on the control current and the objective balanced position, and it does not involve any model information. The design process of a parameter estimation algorithm is model-free, based directly on pseudo-partial-derivative (PPD) derived online from the input and output data information. The rotor start-of-suspension position of the HMB is regulated by auxiliary bearings with different inner diameters, and two kinds of operation situations (linear and nonlinear areas) are present to analyze the validity of MFAC in detail. Both simulations and experiments demonstrate that the proposed MFAC scheme handles the 3-DoF HMB control system with start-of-suspension response speed, smaller steady state error, and higher stability.




Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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