{"paper_id":"1bb75c01-ebbf-4d9d-a04a-cec66d7c7cf4","body_text":"Purity Control of Simulated Moving Bed Based on Advanced Fuzzy Controller | 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 Purity Control of Simulated Moving Bed Based on Advanced Fuzzy Controller chaofan xie, Hong Zhang, Xiong Chen This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4124684/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 20 Apr, 2024 Read the published version in Scientific Reports → Version 1 posted 6 You are reading this latest preprint version Abstract Simulated Moving Bed (SMB) technology is considered one of the most successful techniques for chromatographic separation. However, due to its complex model and sensitivity to numerous separation performance parameters, controlling SMB systems poses challenges. In recent years, the application of fuzzy controllers in industrial settings has gained popularity due to their simplicity and robust performance. Nevertheless, the traditional fuzzy controllers used in industry often neglect the consideration of error acceleration, leading to a slight deviation from the target value in steady-state conditions and oscillatory behavior when system parameters change. This study proposes the implementation of an advanced fuzzy controller for controlling purity in simulated moving bed systems, and it demonstrates improved robustness compared to traditional fuzzy control methods. Physical sciences/Engineering/Chemical engineering Physical sciences/Mathematics and computing Physical sciences/Mathematics and computing/Applied mathematics SMB Advanced Fuzzy Chromatographic Control Full Text Additional Declarations No competing interests reported. Supplementary Files datafigure4a.docx datafigure4b.docx datafigure5a.docx datafigure5b.docx datafigure6a.docx datafigure6b.docx datafigure7a.docx datafigure7b.docx datafigure8a.docx Cite Share Download PDF Status: Published Journal Publication published 20 Apr, 2024 Read the published version in Scientific Reports → Version 1 posted Editorial decision: Revision requested 08 Apr, 2024 Reviews received at journal 31 Mar, 2024 Reviewers agreed at journal 26 Mar, 2024 Reviewers invited by journal 26 Mar, 2024 Submission checks completed at journal 25 Mar, 2024 First submitted to journal 18 Mar, 2024 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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