Design of a drive and control integrated intelligent loom control system based on the FOC algorithm

Design of a drive and control integrated intelligent loom control system based on the FOC algorithm | 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 drive and control integrated intelligent loom control system based on the FOC algorithm Ziyong Zhai, Zhaochong Hou, Xuezheng Yang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7925168/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 15 You are reading this latest preprint version Abstract Aiming at the challenges of high energy consumption, low integration, and insufficient stability in the drive systems of ultra-high-speed air-jet looms, a drive and control in-tegrated software/hardware architecture for a “three-in-one” system (mainshaft drive motor, warp motor, and take-up motor) is constructed. A multi-axis (main shaft, warp shaft, and take-up shaft)coupled drive model with multiple spatiotemporal character-istics and nonlinear mathematical properties is established. Amethod for multi-axis electromechanical parameter monitoring and information fusion is proposed. An intel-ligent drive andcontrol integrated controller is developed to achieve real-time moni-toring and diagnosis of the operating status of the multi-axiselectromechanical system, as well as vector control and field-weakening control. This enhances the efficiency of the loomdrive system and reduces power consumption.In addition, in response to the low efficiency and poor consistency of manualfabric quality inspection in the textile in-dustry, this paper proposes an intelligent fabric quality inspection system based onthe improved YOLOv8n algorithm. By constructing a dataset containing seven types of typical fabric defects, the structure ofthe original model was optimized. Experimental results show that the improved YOLOv8n achieves a mAP_0.5 of 98.4% infabric defect detection tasks and a reasoning speed of 156 FPS, which is more than 20 times faster than traditional detectionmethods. Practical deployment tests show that the system can stably identify defects such as broken warp and weft yarns,stains, and loose weft over 0.3mm, with a false detection rate of less than 0.15%, meeting the real-time quality in-spectionrequirements of textile production lines. This research provides an effective technical solution for the intelligence of textilemachinery and has been successfully applied to the RFJA36 series looms of Shandong Rifa Textile Machinery Co., Ltd. Physical sciences/Engineering Physical sciences/Mathematics and computing Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 13 Jan, 2026 Reviews received at journal 12 Jan, 2026 Reviews received at journal 09 Jan, 2026 Reviewers agreed at journal 08 Jan, 2026 Reviewers agreed at journal 07 Jan, 2026 Reviewers agreed at journal 07 Jan, 2026 Reviews received at journal 27 Dec, 2025 Reviewers agreed at journal 23 Dec, 2025 Reviewers agreed at journal 09 Dec, 2025 Reviewers agreed at journal 08 Dec, 2025 Reviewers invited by journal 24 Nov, 2025 Editor assigned by journal 16 Nov, 2025 Editor invited by journal 13 Nov, 2025 Submission checks completed at journal 12 Nov, 2025 First submitted to journal 12 Nov, 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. 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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-7925168","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":551559861,"identity":"03eafd38-4075-49f4-8684-c02e1dc21c8c","order_by":0,"name":"Ziyong 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FOC algorithm","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"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":"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":"","lastPublishedDoi":"10.21203/rs.3.rs-7925168/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7925168/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Aiming at the challenges of high energy consumption, low integration, and insufficient stability in the drive systems of ultra-high-speed air-jet looms, a drive and control in-tegrated software/hardware architecture for a “three-in-one” system (mainshaft drive motor, warp motor, and take-up motor) is constructed. A multi-axis (main shaft, warp shaft, and take-up shaft)coupled drive model with multiple spatiotemporal character-istics and nonlinear mathematical properties is established. Amethod for multi-axis electromechanical parameter monitoring and information fusion is proposed. An intel-ligent drive andcontrol integrated controller is developed to achieve real-time moni-toring and diagnosis of the operating status of the multi-axiselectromechanical system, as well as vector control and field-weakening control. This enhances the efficiency of the loomdrive system and reduces power consumption.In addition, in response to the low efficiency and poor consistency of manualfabric quality inspection in the textile in-dustry, this paper proposes an intelligent fabric quality inspection system based onthe improved YOLOv8n algorithm. By constructing a dataset containing seven types of typical fabric defects, the structure ofthe original model was optimized. Experimental results show that the improved YOLOv8n achieves a mAP_0.5 of 98.4% infabric defect detection tasks and a reasoning speed of 156 FPS, which is more than 20 times faster than traditional detectionmethods. Practical deployment tests show that the system can stably identify defects such as broken warp and weft yarns,stains, and loose weft over 0.3mm, with a false detection rate of less than 0.15%, meeting the real-time quality in-spectionrequirements of textile production lines. This research provides an effective technical solution for the intelligence of textilemachinery and has been successfully applied to the RFJA36 series looms of Shandong Rifa Textile Machinery Co., Ltd.","manuscriptTitle":"Design of a drive and control integrated intelligent loom control system based on the FOC algorithm","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-11-28 05:13:57","doi":"10.21203/rs.3.rs-7925168/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2026-01-13T08:12:42+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-01-12T23:50:42+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2026-01-09T13:56:29+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"84993048360963128423177187775862709003","date":"2026-01-09T00:42:02+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"155562685946988319475169614942542031616","date":"2026-01-07T08:41:34+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"146289250453623956830636766511236674460","date":"2026-01-07T06:17:56+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-12-28T04:01:39+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"48581734395064433979683778079280994428","date":"2025-12-24T02:11:33+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"50124481462017318051305139445386855963","date":"2025-12-09T09:00:57+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"55048879634505156110643707868549191028","date":"2025-12-08T12:56:35+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-11-25T03:55:23+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-11-17T03:31:13+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2025-11-13T06:24:11+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-11-12T12:55:45+00:00","index":"","fulltext":""},{"type":"submitted","content":"Scientific Reports","date":"2025-11-12T12:51:54+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":"471f77ed-8699-4455-801f-6e01c3f193da","owner":[],"postedDate":"November 28th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[{"id":58692775,"name":"Physical sciences/Engineering"},{"id":58692776,"name":"Physical sciences/Mathematics and computing"}],"tags":[],"updatedAt":"2026-04-28T09:40:40+00:00","versionOfRecord":[],"versionCreatedAt":"2025-11-28 05:13:57","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7925168","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7925168","identity":"rs-7925168","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}