A novel structure of vehicle motion cueing algorithm for a pneumatic motion simulation platform

A novel structure of vehicle motion cueing algorithm for a pneumatic motion simulation platform | 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 A novel structure of vehicle motion cueing algorithm for a pneumatic motion simulation platform Chao Liu, Li Li, Ling Zhao This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4157858/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 In this paper, a novel structure of motion cueing algorithm (MCA) is proposed to simulate translational accelerations and angular velocities of vehicles on a pneumatic motion simulation platform (PMSP). The designed MCA includes nonlinear scaling algorithm, linear quadraticregulator (LQR), low pass filter and data fusion algorithm.Taking into account absolute sensory thresholds of human vestibular organ, the nonlinear scaling algorithm is designed to scale the translational accelerations and angular velocities of vehicles for ensuring the outputs of the MCA are inangular displacement ranges of the PMSP. According to the model of otolith organ and semicirular canal, the LQR ispresented to constrain the perception errors between the vehicles and PMSP. The data fusion algorithm is proposed to obtain desired angular displacement of the PMSP from the outputs of the nonlinear scaling algorithm for reducing perception errors. Considering the ranges of deflection angleand angular velocity on the PMSP, perception errors and absolute sensory thresholds, gains of the MCA are optimized by genetic algorithm. Note that the designed MCA can notonly be applied to the PMSP, but also be extended to the classical 6-degree-of-freedom platform for improving simulation performance. Finally, the effectiveness of the proposed algorithm is verified by real experiment using an active disturbance rejection controller. Pneumatic motion simulation platform Motion cueing algorithm Genetic algorithm Data fusion algorithm Active disturbance rejection controller 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. 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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-4157858","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":283942537,"identity":"65cc5c3e-848c-4771-a126-17953a1bf5d9","order_by":0,"name":"Chao Liu","email":"","orcid":"","institution":"Yanshan University","correspondingAuthor":false,"prefix":"","firstName":"Chao","middleName":"","lastName":"Liu","suffix":""},{"id":283942538,"identity":"0fb0ba5a-11a2-4016-889c-f235b340650e","order_by":1,"name":"Li Li","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAApElEQVRIiWNgGAWjYBACPmbmhgMfIGwD4rSwMTM2HJxBmhYGxgZmHtK0sDM2HrZtq0tsYG/eJsFQc4c4hx3ObTuc2MBzrEyC4dgzorUcSGyQyDGTALKJ1GIJcpj8G1K0MLYxA23hIUHLwZ5zh43beNKKLRKOEaGFn//w4Q8/yupk+9kPb7zxoYYILWDAyAaKICBIIFIDEPwhXukoGAWjYBSMQAAA7TA1Dfgsu5EAAAAASUVORK5CYII=","orcid":"","institution":"Yanshan University","correspondingAuthor":true,"prefix":"","firstName":"Li","middleName":"","lastName":"Li","suffix":""},{"id":283942539,"identity":"a289a5f5-2022-4c59-b00a-999161515f2e","order_by":2,"name":"Ling Zhao","email":"","orcid":"","institution":"Tianjin University","correspondingAuthor":false,"prefix":"","firstName":"Ling","middleName":"","lastName":"Zhao","suffix":""}],"badges":[],"createdAt":"2024-03-24 11:59:33","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4157858/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4157858/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":61103092,"identity":"3381f961-2c44-4203-9935-dc60f1780d60","added_by":"auto","created_at":"2024-07-25 15:29:33","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":6681210,"visible":true,"origin":"","legend":"","description":"","filename":"document.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4157858/v1_covered_d06dcd17-322c-4aaf-9a8b-d51054b3bd73.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"A novel structure of vehicle motion cueing algorithm for a pneumatic motion simulation platform","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Pneumatic motion simulation platform, Motion cueing algorithm, Genetic algorithm, Data fusion algorithm, Active disturbance rejection controller","lastPublishedDoi":"10.21203/rs.3.rs-4157858/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4157858/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"In this paper, a novel structure of motion cueing algorithm (MCA) is proposed to simulate translational accelerations and angular velocities of vehicles on a pneumatic motion simulation platform (PMSP). 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