T-ASE-2021-1298.pdf (11.4 MB)
Adaptive fixed-time position precision control for magnetic levitation systems
journal contributionposted 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.
Research on Active Anti-interference and Optimal Control of Multi-source Disturbed Power Electronic Converter System
National Natural Science Foundation of ChinaFind out more...
Zhejiang Provincial Natural Science Foundation of China (Grant Number: LY20F030016)
Talent Project of Zhejiang Association for Science and Technology (Grant Number: SKX201901)
- Aeronautical, Automotive, Chemical and Materials Engineering
- Aeronautical and Automotive Engineering
Published inIEEE Transactions on Automation Science and Engineering
Pages458 - 469
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
- AM (Accepted Manuscript)
Rights holder© IEEE
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