Design of a Parameter Self-tuning PID Controller Based on an ER-SLP for a Variable-Frequency Air Compressor in a Rapid Deballasting System

Design of a Parameter Self-tuning PID Controller Based on an ER-SLP for a Variable-Frequency Air Compressor in a Rapid Deballasting System | 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 Article Design of a Parameter Self-tuning PID Controller Based on an ER-SLP for a Variable-Frequency Air Compressor in a Rapid Deballasting System Shouwen Pang, Jingxin Zhou This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6201378/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 28 Nov, 2025 Read the published version in Scientific Reports → Version 1 posted 10 You are reading this latest preprint version Abstract A semisubmersible lifting and decommissioning platform is designed to fulfill the decommissioning requirements of offshore oilfield platforms. The rapid deballasting system is a critical component of the platform. During the course of operation, compressed air is injected into the column side ballast tank to maintain the stability of the platform. This is achieved by the air compressors. The objective of this study is to address the issues of high energy consumption, backward control methods and low efficiency in power frequency air compressors. To this end, frequency conversion is carried out via simulation. A novel fractional PID controller design, which is based on evidential reasoning (ER) and sequential linear programming (SLP) methodologies, is proposed. The method is based on the combination of an evidential reasoning (ER) rule and the optimization of the parameters of the ER rule through the use of a sequential linear programming (SLP) online optimization algorithm. The proposed algorithm is evaluated in comparison with power frequency control, a traditional PID controller, and a fractional PID controller within the context of a simulation model established within the Simulink environment. The evaluation is conducted under typical working conditions. The results of the simulation demonstrate that the ER fractional PID controller is more effective in balancing energy consumption and operation time during the operational process and exhibits superior control performance. Physical sciences/Engineering Physical sciences/Engineering/Mechanical engineering energy-saving transformation of an air compressor fractional PID evidential reasoning rule sequential linear programming Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 28 Nov, 2025 Read the published version in Scientific Reports → Version 1 posted Editorial decision: Revision requested 17 Apr, 2025 Reviews received at journal 10 Apr, 2025 Reviews received at journal 07 Apr, 2025 Reviewers agreed at journal 20 Mar, 2025 Reviewers agreed at journal 19 Mar, 2025 Reviewers invited by journal 18 Mar, 2025 Editor assigned by journal 18 Mar, 2025 Editor invited by journal 18 Mar, 2025 Submission checks completed at journal 17 Mar, 2025 First submitted to journal 11 Mar, 2025 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-6201378","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":431455118,"identity":"3650aa63-a071-49ce-aa10-f1c0aa050476","order_by":0,"name":"Shouwen Pang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAuElEQVRIiWNgGAWjYBACefnDhx98qLBh5idai+EMtjTDGWfS2CUbiNZzg0dBmrftEL/BAWJ1MM7uYTDmOXNA2vh48gaGHxXbCGthlzl74OGcijvGZmeeFTD2nLlNhC0NeQkGb848Sza7kWPAzNhGhBaGAzkGErxth+s3zyBaC9BwSaAWZgMJYrUY9hwDBzKzBNAvB4nyizx7MzQq25M3PvhRQYzDECCB+KhBaCFVxygYBaNgFIwQAAAgpUMve6A7LAAAAABJRU5ErkJggg==","orcid":"","institution":"Shan Dong Jiao Tong University","correspondingAuthor":true,"prefix":"","firstName":"Shouwen","middleName":"","lastName":"Pang","suffix":""},{"id":431455119,"identity":"be3e051b-8f4c-47b0-a3df-c1ff3a4568ab","order_by":1,"name":"Jingxin Zhou","email":"","orcid":"","institution":"Shan Dong Jiao Tong University","correspondingAuthor":false,"prefix":"","firstName":"Jingxin","middleName":"","lastName":"Zhou","suffix":""}],"badges":[],"createdAt":"2025-03-11 08:38:37","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6201378/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6201378/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1038/s41598-025-30209-9","type":"published","date":"2025-11-28T15:57:54+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":97179360,"identity":"6dc46aa7-4d3f-48a1-87f7-9fc2595435e6","added_by":"auto","created_at":"2025-12-01 16:14:59","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":649972,"visible":true,"origin":"","legend":"","description":"","filename":"DesignofaParameterSelftuningPIDControllerBasedonanERSLPforaVariableFrequencyAirCompressorinaRapidDeballastingSystem.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6201378/v1_covered_ef23df2d-6422-4eea-8b58-826075f180e3.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Design of a Parameter Self-tuning PID Controller Based on an ER-SLP for a Variable-Frequency Air Compressor in a Rapid Deballasting System","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"scientific-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scirep","sideBox":"Learn more about [Scientific Reports](http://www.nature.com/srep/)","snPcode":"","submissionUrl":"","title":"Scientific Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Scientific Reports","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"energy-saving transformation of an air compressor, fractional PID, evidential reasoning rule, sequential linear programming","lastPublishedDoi":"10.21203/rs.3.rs-6201378/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6201378/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eA semisubmersible lifting and decommissioning platform is designed to fulfill the decommissioning requirements of offshore oilfield platforms. The rapid deballasting system is a critical component of the platform. During the course of operation, compressed air is injected into the column side ballast tank to maintain the stability of the platform. This is achieved by the air compressors. The objective of this study is to address the issues of high energy consumption, backward control methods and low efficiency in power frequency air compressors. To this end, frequency conversion is carried out via simulation. A novel fractional PID controller design, which is based on evidential reasoning (ER) and sequential linear programming (SLP) methodologies, is proposed. The method is based on the combination of an evidential reasoning (ER) rule and the optimization of the parameters of the ER rule through the use of a sequential linear programming (SLP) online optimization algorithm. The proposed algorithm is evaluated in comparison with power frequency control, a traditional PID controller, and a fractional PID controller within the context of a simulation model established within the Simulink environment. The evaluation is conducted under typical working conditions. The results of the simulation demonstrate that the ER fractional PID controller is more effective in balancing energy consumption and operation time during the operational process and exhibits superior control performance.\u003c/p\u003e","manuscriptTitle":"Design of a Parameter Self-tuning PID Controller Based on an ER-SLP for a Variable-Frequency Air Compressor in a Rapid Deballasting System","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-03-27 13:08:43","doi":"10.21203/rs.3.rs-6201378/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2025-04-17T17:47:01+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-04-10T17:25:19+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-04-07T06:27:08+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"219135379015310764856287982000986425930","date":"2025-03-20T08:33:42+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"161113921101717977622018924281479448736","date":"2025-03-19T12:19:26+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-03-18T07:12:39+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-03-18T07:10:57+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2025-03-18T06:57:28+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-03-17T05:18:31+00:00","index":"","fulltext":""},{"type":"submitted","content":"Scientific Reports","date":"2025-03-11T08:35:45+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"scientific-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scirep","sideBox":"Learn more about [Scientific Reports](http://www.nature.com/srep/)","snPcode":"","submissionUrl":"","title":"Scientific Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Scientific Reports","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"8ef8bce0-6c7f-4719-afb6-007934e24adb","owner":[],"postedDate":"March 27th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[{"id":45953809,"name":"Physical sciences/Engineering"},{"id":45953810,"name":"Physical sciences/Engineering/Mechanical engineering"}],"tags":[],"updatedAt":"2025-12-01T16:10:00+00:00","versionOfRecord":{"articleIdentity":"rs-6201378","link":"https://doi.org/10.1038/s41598-025-30209-9","journal":{"identity":"scientific-reports","isVorOnly":false,"title":"Scientific Reports"},"publishedOn":"2025-11-28 15:57:54","publishedOnDateReadable":"November 28th, 2025"},"versionCreatedAt":"2025-03-27 13:08:43","video":"","vorDoi":"10.1038/s41598-025-30209-9","vorDoiUrl":"https://doi.org/10.1038/s41598-025-30209-9","workflowStages":[]},"version":"v1","identity":"rs-6201378","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6201378","identity":"rs-6201378","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}