The suspension control method for a 3DOF electromagnetic levitation suspended train

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This paper presents a 3DOF electromagnetic levitation suspension system for trains, demonstrating through modeling and experiments that fuzzy sliding mode control effectively suppresses oscillations compared to traditional sliding mode control.

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The paper studies suspension control for a newly designed 3DOF electromagnetic-levitation (maglev) suspended train, motivated by rubber wheel wear and maintenance costs in conventional suspension systems. The authors model the bogie’s dynamic characteristics in a Cartesian coordinate system and design a decoupling control algorithm to independently manage steering attitude angle and suspension height, addressing model inaccuracy with a fuzzy sliding mode control strategy. Simulation comparisons indicate that fuzzy sliding mode control greatly suppresses system oscillations versus traditional sliding mode control, and the control approach is further validated using a scaled experimental model. Limitations include that results are based on modeling and simulation plus a scaled prototype rather than a full-scale, peer-reviewed evaluation. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Most of the running wheels on existing suspension trains use rubber wheels. However, the wear and tear of rubber tires after long-term operation can affect the safety of train operation, and frequent replacement will increase operational costs. To address the above issues, a new suspended structure for maglev trains based on electromagnetic levitation was designed, and this new suspension method was investigated. Firstly, the dynamic characteristics of the bogie structure were modeled and analyzed in the Cartesian coordinate system, and a decoupling control algorithm was designed to independently control the steering attitude angle and the suspension height. Secondly, to address the issue of model inaccuracy caused by simplification in the dynamic modeling process, a fuzzy sliding mode control strategy was introduced. In order to verify the suppression effect of fuzzy sliding mode control on system oscillation, a fuzzy sliding mode control model and a sliding mode control simulation model were set up. The simulation results showed that compared with traditional sliding mode control, fuzzy sliding mode control can greatly suppress oscillation phenomena.Finally, the correctness of suspension control strategy was verified through the construction of a scaled experimental model of the new suspended maglev train based on electromagnetic levitation.
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The suspension control method for a 3DOF electromagnetic levitation suspended train | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article The suspension control method for a 3DOF electromagnetic levitation suspended train Liu Yi, Liu Guo-qing, Jiu Fang-heng, Zhang Long, Deng Jin-fa, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3855959/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Most of the running wheels on existing suspension trains use rubber wheels. However, the wear and tear of rubber tires after long-term operation can affect the safety of train operation, and frequent replacement will increase operational costs. To address the above issues, a new suspended structure for maglev trains based on electromagnetic levitation was designed, and this new suspension method was investigated. Firstly, the dynamic characteristics of the bogie structure were modeled and analyzed in the Cartesian coordinate system, and a decoupling control algorithm was designed to independently control the steering attitude angle and the suspension height. Secondly, to address the issue of model inaccuracy caused by simplification in the dynamic modeling process, a fuzzy sliding mode control strategy was introduced. In order to verify the suppression effect of fuzzy sliding mode control on system oscillation, a fuzzy sliding mode control model and a sliding mode control simulation model were set up. The simulation results showed that compared with traditional sliding mode control, fuzzy sliding mode control can greatly suppress oscillation phenomena.Finally, the correctness of suspension control strategy was verified through the construction of a scaled experimental model of the new suspended maglev train based on electromagnetic levitation. suspended train magnetic levitation decoupling control fuzzy slide film control Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-3855959","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":266802243,"identity":"0578175c-9f31-4650-babc-ed08f579b34a","order_by":0,"name":"Liu Yi","email":"","orcid":"","institution":"Beijing Century Real Technology Co.,Ltd","correspondingAuthor":false,"prefix":"","firstName":"Liu","middleName":"","lastName":"Yi","suffix":""},{"id":266802244,"identity":"d1842bdd-e3da-495b-bbca-32461bb52dcd","order_by":1,"name":"Liu 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