T-ASE-2021-1298.pdf (11.4 MB)
Adaptive fixed-time position precision control for magnetic levitation systems
journal contribution
posted on 2022-11-10, 15:05 authored by Junxiao Wang, Jiayi Rong, Jun YangJun YangA 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
Find out more...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 EngineeringVolume
20Issue
1Pages
458 - 469Publisher
Institute of Electrical and Electronics Engineers (IEEE)Version
- AM (Accepted Manuscript)
Rights holder
© IEEEPublisher 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
2022-02-23Publication date
2022-03-15Copyright date
2022ISSN
1545-5955eISSN
1558-3783Publisher version
Language
- en