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Adaptive fixed-time position precision control for magnetic levitation systems

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journal contribution
posted on 2022-11-10, 15:05 authored by Junxiao Wang, Jiayi Rong, Jun YangJun Yang
A novel adaptive fixed-time controller (AFTC) based on disturbance compensation technology is proposed to achieve high performance position precision control for magnetic levitation system in this paper. Firstly, the dynamic model of the magnetic levitation system is established and a fixed-time controller (FTC) is designed to realize the closed-loop control. However, this approach usually requires a large switching gain to suppress interference, resulting in chattering. In view of this, the generalized proportional integral observer (GPIO) is introduced to estimate and compensate the time-varying interference, which can not only improve the anti-interference ability, but also reduce the chattering by choosing a smaller switching gain. Nevertheless, these two performance improvements come at the cost of the dynamic response rate. In order to improve steady state performance without sacrificing dynamic performance, an adaptive fixed-time controller based on GPIO is proposed, which has a significant advantage because of the adjustable switching gain. Specifically, when the system state is far from the sliding mode surface, a larger switching gain is adjusted to improve the convergence rate. When the system state is close to the sliding mode surface, a smaller switching gain is adjusted to reduce chattering. Simulation and experimental results demonstrate the superiority of the proposed AFTC-GPIO method qualitatively and quantitatively.

Funding

Research on Active Anti-interference and Optimal Control of Multi-source Disturbed Power Electronic Converter System

National Natural Science Foundation of China

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Zhejiang Provincial Natural Science Foundation of China (Grant Number: LY20F030016)

Talent Project of Zhejiang Association for Science and Technology (Grant Number: SKX201901)

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

IEEE Transactions on Automation Science and Engineering

Volume

20

Issue

1

Pages

458 - 469

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Version

  • AM (Accepted Manuscript)

Rights holder

© IEEE

Publisher statement

© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Acceptance date

2022-02-23

Publication date

2022-03-15

Copyright date

2022

ISSN

1545-5955

eISSN

1558-3783

Language

  • en

Depositor

Dr Jun Yang. Deposit date: 10 November 2022