Finite-Time Adaptive Dynamic Surface Control for Energy Recovery Loading Systems Based on Command Filter

Finite-Time Adaptive Dynamic Surface Control for Energy Recovery Loading Systems Based on Command Filter | 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 Finite-Time Adaptive Dynamic Surface Control for Energy Recovery Loading Systems Based on Command Filter Guoliang Chen, Zhiyi Tu, Jiangbo Zhao, yifei Wang, yeshi Bai, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7002147/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 We develop an energy-recovery loading system capable of imposing configurable hydraulic loads for comprehensive pump performance evaluation. This system recuperates hydraulic energy through a pump–motor–generator cascade that transforms fluid power into grid-compatible electrical energy, thereby minimizing energy loss and thermal dissipation. However, achieving precise pressure tracking within such an architecture poses significant control challenges due to inherent hydraulic nonlinearities, mechanical transmission losses, and parametric uncertainties. To overcome these challenges, we propose a novel hybrid control strategy that integrates Command-Filtered Adaptive Dynamic Surface Control (CF-ADSC) with Fractional-Order Sliding Mode Control (FOSMC). The CF-ADSC framework decomposes complex system dynamics into tractable subsystems with real-time parameter adaptation, while FOSMC enhances robustness against disturbances through the use of fractional calculus operators. A rigorous Lyapunov-based stability analysis confirms the finite-time convergence of tracking errors. Comparative simulations and experimental validations demonstrate that the proposed controller maintains pressure tracking errors within 2% under dynamic loading conditions, offering a robust and energy-efficient solution for advanced hydraulic performance testing. Finite-time convergence Command filter Filter compensation Dynamic surface control Power recovery 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. 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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-7002147","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":482449810,"identity":"f65073dc-d10e-43a5-a588-f488f89c25a8","order_by":0,"name":"Guoliang Chen","email":"","orcid":"","institution":"Beijing Institute of Technology","correspondingAuthor":false,"prefix":"","firstName":"Guoliang","middleName":"","lastName":"Chen","suffix":""},{"id":482449811,"identity":"b0c381c1-a708-4065-84dc-925f78b2f407","order_by":1,"name":"Zhiyi Tu","email":"","orcid":"","institution":"Beijing Institute of Technology","correspondingAuthor":false,"prefix":"","firstName":"Zhiyi","middleName":"","lastName":"Tu","suffix":""},{"id":482449812,"identity":"773c9909-4357-479a-a501-650ed87be482","order_by":2,"name":"Jiangbo Zhao","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA+klEQVRIiWNgGAWjYDACCRA2gDI+NoBIBgPitTDObJCQIE4LjMHM28BAWIv87OaHDywK7PLko5sPPrbdYVHHwN68TYKh5g5OLYxzjhkbSBgkFxveOZZsnHsG6DCeY2USDMee4dTCLJFgJiFhwJy4cUaOmXRuG1CLRI6ZBGPDYZxa2CTSvwG11EO0WIK0yL/Br4UHZKaEweHE+UCGNCPYFh78WiQkcoqBfjmeuEHmWLJh7xkJyTaetGKLhGO4tcjPSN/4WOJPdeL82c0HH/zcUcfPz354440PNbi1QIIASBgcgPkORCTg1QAM6A8g6xoIqBoFo2AUjIKRCwBoI0sj/fv7hAAAAABJRU5ErkJggg==","orcid":"","institution":"Beijing Institute of Technology","correspondingAuthor":true,"prefix":"","firstName":"Jiangbo","middleName":"","lastName":"Zhao","suffix":""},{"id":482449813,"identity":"4b64b5cc-91b6-4a8f-8a2f-f411b6934ac2","order_by":3,"name":"yifei Wang","email":"","orcid":"","institution":"Beijing Institute of Technology","correspondingAuthor":false,"prefix":"","firstName":"yifei","middleName":"","lastName":"Wang","suffix":""},{"id":482449814,"identity":"ac5c9ff1-a7a4-4add-b0b0-b5d84bea6fb0","order_by":4,"name":"yeshi Bai","email":"","orcid":"","institution":"Beijing Institute of Technology","correspondingAuthor":false,"prefix":"","firstName":"yeshi","middleName":"","lastName":"Bai","suffix":""},{"id":482449815,"identity":"e9fbdbfa-b6c9-4949-aaf5-f6a9f7ac5a7f","order_by":5,"name":"Junzheng Wang","email":"","orcid":"","institution":"Beijing Institute of Technology","correspondingAuthor":false,"prefix":"","firstName":"Junzheng","middleName":"","lastName":"Wang","suffix":""}],"badges":[],"createdAt":"2025-06-29 10:38:16","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7002147/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7002147/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":90952193,"identity":"ddf0531b-be40-4321-8175-8249c3c47824","added_by":"auto","created_at":"2025-09-10 01:16:20","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":10088722,"visible":true,"origin":"","legend":"","description":"","filename":"FiniteTimeAdaptiveDynamicSurfaceControlforEnergyRecoveryLoadingSystemsBasedonCommandFilter.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7002147/v1_covered_c5eff5c5-9965-451c-a8aa-71b8ef054ac4.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Finite-Time Adaptive Dynamic Surface Control for Energy Recovery Loading Systems Based on Command Filter ","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":"Finite-time convergence, Command filter, Filter compensation, Dynamic surface control, Power recovery","lastPublishedDoi":"10.21203/rs.3.rs-7002147/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7002147/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eWe develop an energy-recovery loading system capable of imposing configurable hydraulic loads for comprehensive pump performance evaluation. This system recuperates hydraulic energy through a pump\u0026ndash;motor\u0026ndash;generator cascade that transforms fluid power into grid-compatible electrical energy, thereby minimizing energy loss and thermal dissipation. However, achieving precise pressure tracking within such an architecture poses significant control challenges due to inherent hydraulic nonlinearities, mechanical transmission losses, and parametric uncertainties. To overcome these challenges, we propose a novel hybrid control strategy that integrates Command-Filtered Adaptive Dynamic Surface Control (CF-ADSC) with Fractional-Order Sliding Mode Control (FOSMC). The CF-ADSC framework decomposes complex system dynamics into tractable subsystems with real-time parameter adaptation, while FOSMC enhances robustness against disturbances through the use of fractional calculus operators. A rigorous Lyapunov-based stability analysis confirms the finite-time convergence of tracking errors. 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