Improved super-twisting fuzzy sliding mode control based on fuel regulator

Improved super-twisting fuzzy sliding mode control based on fuel regulator | 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 Improved super-twisting fuzzy sliding mode control based on fuel regulator Jun-zheng Qi, Wei-Wei Liu, Yang Wang, Hai-Xing Zhang, Jian-Rong Song, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5326311/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 study, we address the flow fluctuations caused by the continuous jittering of the metering valve spool under system perturbations during the operation of the booster fuel regulator. By analyzing the mathematical model of the core metering valve and incorporating a speed-up factor into the super-twisting sliding mode control (STC), the system's tracking speed is significantly enhanced. Fuzzy logic is then introduced to achieve parameter self-adaptation in the improved super-twisting sliding mode controller (FSTC), effectively suppressing the jitter. This results in a stable metering device system, improved tracking speed, and reduced spool position error under perturbations. When compared to conventional sliding mode control (SMC) and unimproved super-twisting sliding mode control, using quasi-impulse, step, and ramp signals as inputs, the results show that FSTC reduces tracking error by an average of 120% under quasi-pulse signals compared to the unimproved STC, and enhances tracking speed by 327.2% under step signals, and the overall result is much better than SMC. Super-twisting sliding mode Fuzzy adaptive Hydraulic servo system Robust anti-jamming 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-5326311","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":370439892,"identity":"903a865d-3406-40e1-96ed-9f9c1c70931e","order_by":0,"name":"Jun-zheng Qi","email":"","orcid":"","institution":"Dalian University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Jun-zheng","middleName":"","lastName":"Qi","suffix":""},{"id":370439893,"identity":"907465cb-f854-4fa5-895c-27ddf87fa678","order_by":1,"name":"Wei-Wei Liu","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAyElEQVRIiWNgGAWjYDACCRBRACKZDxz48INYLQcMQCRb4sGZPcRrAbF4jA9zsBGhQz66+fDnDwYWiRtu5Hw4zMDDIM8vdgC/FsM7x9IkgA4DasndcLjAgsFw5uwEAlpm5JiB/JK47TZQywwehgSD24S1GH+AaMl5cJiHjQgt8hI5BhJQLQzEaTGQSEuTOGMgYbz//jMDYCBLEPaL/Izkwx8qKupkZ/Ycfvzhww8beX5pQrYcQOVL4FcOtqWBsJpRMApGwSgY6QAAXHtKlzlhl0wAAAAASUVORK5CYII=","orcid":"","institution":"Dalian University of Technology","correspondingAuthor":true,"prefix":"","firstName":"Wei-Wei","middleName":"","lastName":"Liu","suffix":""},{"id":370439894,"identity":"ae7df009-a71e-4627-8e2a-f7400a47a044","order_by":2,"name":"Yang Wang","email":"","orcid":"","institution":"AECC Guizhou Honglin Aero Engine Control Technology Corporation Ltd","correspondingAuthor":false,"prefix":"","firstName":"Yang","middleName":"","lastName":"Wang","suffix":""},{"id":370439895,"identity":"f9b007a8-46cc-4cde-b0b1-99bfbe7248eb","order_by":3,"name":"Hai-Xing Zhang","email":"","orcid":"","institution":"AECC Guizhou Honglin Aero Engine Control Technology Corporation Ltd","correspondingAuthor":false,"prefix":"","firstName":"Hai-Xing","middleName":"","lastName":"Zhang","suffix":""},{"id":370439896,"identity":"a3b18a30-c51f-4f2e-ba0e-1f9fba228230","order_by":4,"name":"Jian-Rong Song","email":"","orcid":"","institution":"Dalian University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Jian-Rong","middleName":"","lastName":"Song","suffix":""},{"id":370439897,"identity":"5a74a12a-3cc4-493f-9990-c022ecc30546","order_by":5,"name":"Zai-Lin Guo","email":"","orcid":"","institution":"Dalian University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Zai-Lin","middleName":"","lastName":"Guo","suffix":""}],"badges":[],"createdAt":"2024-10-24 13:38:12","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-5326311/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5326311/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":67895291,"identity":"801996f1-cae6-42b9-9ec9-b1d2cbfe746e","added_by":"auto","created_at":"2024-10-30 22:46:33","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1527770,"visible":true,"origin":"","legend":"","description":"","filename":"ImprovedSuperTwistingfuzzyslidingmodecontrolbasedonfuelregulator.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5326311/v1_covered_2b00fa38-0fd4-4d68-9897-55090c315b9a.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Improved super-twisting fuzzy sliding mode control based on fuel regulator","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":"Super-twisting sliding mode, Fuzzy adaptive, Hydraulic servo system, Robust anti-jamming","lastPublishedDoi":"10.21203/rs.3.rs-5326311/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5326311/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eIn this study, we address the flow fluctuations caused by the continuous jittering of the metering valve spool under system perturbations during the operation of the booster fuel regulator. By analyzing the mathematical model of the core metering valve and incorporating a speed-up factor into the super-twisting sliding mode control (STC), the system's tracking speed is significantly enhanced. Fuzzy logic is then introduced to achieve parameter self-adaptation in the improved super-twisting sliding mode controller (FSTC), effectively suppressing the jitter. This results in a stable metering device system, improved tracking speed, and reduced spool position error under perturbations. 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