An Enhanced Adaptive Inductance Estimator for Predictive Current Control Strategy of Grid-tied Inverters

An Enhanced Adaptive Inductance Estimator for Predictive Current Control Strategy of Grid-tied Inverters | 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 An Enhanced Adaptive Inductance Estimator for Predictive Current Control Strategy of Grid-tied Inverters Yanyan Li, Zhenkun Liu, Leilei Guo, Zhenjun Wu, Yanfeng Wang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5708629/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 24 Jun, 2025 Read the published version in Electrical Engineering → Version 1 posted 17 You are reading this latest preprint version Abstract This article proposes a new adaptive inductance estimator based on a full-order sliding mode virtual flux observer (FOSVFO), dedicating to improve the parameter robustness of predictive current control (PCC) strategy for grid-tied inverters (GTIs). First, the drawback of the sensitivity to grid frequency deviation of the conventional FOSVFO-based inductance estimator is analyzed, and a complex-coefficient filter is creatively introduced to filter the grid voltage. Then, the filtered grid voltage and the observed virtual flux are utilized to design inductance estimator to counteract the effect of frequency deviation. Second, an inductance adaptive law is deduced by a newly designed Lyapunov function, which ensures the inductance estimator operates well with zero active power, overcoming another drawback of the conventional FOSVFO-based inductance estimator. Based on the proposed adaptive inductance estimator, the performance of the PCC for GTIs is improved significantly. Comparative experiments validate the effectiveness and superiority of the proposed techniques. Grid-tied inverter (GTI) predictive current control (PCC) inductance estimator virtual flux observer Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 24 Jun, 2025 Read the published version in Electrical Engineering → Version 1 posted Editorial decision: Revision requested 20 Mar, 2025 Reviews received at journal 17 Mar, 2025 Reviews received at journal 17 Mar, 2025 Reviews received at journal 15 Mar, 2025 Reviews received at journal 24 Feb, 2025 Reviewers agreed at journal 19 Feb, 2025 Reviewers agreed at journal 19 Feb, 2025 Reviewers agreed at journal 19 Feb, 2025 Reviewers agreed at journal 16 Feb, 2025 Reviewers agreed at journal 14 Feb, 2025 Reviewers agreed at journal 14 Feb, 2025 Reviewers agreed at journal 14 Feb, 2025 Reviewers agreed at journal 14 Feb, 2025 Reviewers invited by journal 14 Feb, 2025 Editor assigned by journal 26 Dec, 2024 Submission checks completed at journal 25 Dec, 2024 First submitted to journal 24 Dec, 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. 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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-5708629","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":394554939,"identity":"ea4440e1-e549-47a5-bd57-017f7d4bdb3f","order_by":0,"name":"Yanyan Li","email":"","orcid":"","institution":"Zhengzhou University of Light Industry","correspondingAuthor":false,"prefix":"","firstName":"Yanyan","middleName":"","lastName":"Li","suffix":""},{"id":394554942,"identity":"75b56abe-0947-4aa7-931a-2a4611c61bb8","order_by":1,"name":"Zhenkun Liu","email":"","orcid":"","institution":"Zhengzhou University of Light 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