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Review

A Review of Levitation Control Methods for Low- and Medium-Speed Maglev Systems

1
Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China
2
National Rail Transit Electrification and Automation Engineering Technology Research Center (Hong Kong Branch), Hung Hom, Kowloon, Hong Kong SAR, China
*
Author to whom correspondence should be addressed.
Buildings 2024, 14(3), 837; https://doi.org/10.3390/buildings14030837
Submission received: 5 January 2024 / Revised: 12 March 2024 / Accepted: 14 March 2024 / Published: 20 March 2024
(This article belongs to the Special Issue Structural Health Monitoring and Vibration Control)

Abstract

Maglev transportation is a highly promising form of transportation for the future, primarily due to its friction-free operation, exceptional comfort, and low risk of derailment. Unlike conventional transportation systems, maglev trains operate with no mechanical contact with the track. Maglev trains achieve levitation and guidance using electromagnetic forces controlled by a magnetic levitation control system. Therefore, the magnetic levitation control system is of utmost importance in maintaining the stable operation performance of a maglev train. However, due to the open-loop instability and strong nonlinearity of the control system, designing an active controller with self-adaptive ability poses a substantial challenge. Moreover, various uncertainties exist, including parameter variations and unknown external disturbances, under different operating conditions. Although several review papers on maglev levitation systems and control methods have been published over the last decade, there has been no comprehensive exploration of their modeling and related control technologies. Meanwhile, many review papers have become outdated and no longer reflect the current state-of-the-art research in the field. Therefore, this article aims to summarize the models and control technologies for maglev levitation systems following the preferred reporting items for systematic reviews and meta-analysis (PRISMA) criteria. The control technologies mainly include linear control methods, nonlinear control methods, and artificial intelligence methods. In addition, the article will discuss maglev control in other scenarios, such as vehicle–guideway vibration control and redundancy and fault-tolerant design. First, the widely used maglev levitation system modeling methods are reviewed, including the modeling assumptions. Second, the principle of the control methods and their control performance in maglev levitation systems are presented. Third, the maglev control methods in other scenarios are discussed. Finally, the key issues pertaining to the future direction of maglev levitation control are discussed.
Keywords: maglev levitation system; modeling; linear control; nonlinear control; artificial intelligent control; vehicle–guideway vibration control; redundancy and fault-tolerant design maglev levitation system; modeling; linear control; nonlinear control; artificial intelligent control; vehicle–guideway vibration control; redundancy and fault-tolerant design

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MDPI and ACS Style

Zhu, Q.; Wang, S.-M.; Ni, Y.-Q. A Review of Levitation Control Methods for Low- and Medium-Speed Maglev Systems. Buildings 2024, 14, 837. https://doi.org/10.3390/buildings14030837

AMA Style

Zhu Q, Wang S-M, Ni Y-Q. A Review of Levitation Control Methods for Low- and Medium-Speed Maglev Systems. Buildings. 2024; 14(3):837. https://doi.org/10.3390/buildings14030837

Chicago/Turabian Style

Zhu, Qi, Su-Mei Wang, and Yi-Qing Ni. 2024. "A Review of Levitation Control Methods for Low- and Medium-Speed Maglev Systems" Buildings 14, no. 3: 837. https://doi.org/10.3390/buildings14030837

APA Style

Zhu, Q., Wang, S.-M., & Ni, Y.-Q. (2024). A Review of Levitation Control Methods for Low- and Medium-Speed Maglev Systems. Buildings, 14(3), 837. https://doi.org/10.3390/buildings14030837

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