Three-vector Model Predictive Control without Weight Coefficient based on Three-phase Neutral Point Clamped Inverter

Three-vector Model Predictive Control without Weight Coefficient based on Three-phase Neutral Point Clamped Inverter | 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 Three-vector Model Predictive Control without Weight Coefficient based on Three-phase Neutral Point Clamped Inverter Lei Yuan, Xi Li, Anfei Xu, Jiawei Mei, Liang Tu, Haiqing Cai, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6217397/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 22 Aug, 2025 Read the published version in Electrical Engineering → Version 1 posted 9 You are reading this latest preprint version Abstract Three-phase three-level neutral point clamped inverters are widely used in new energy fields such as photovoltaic power generation and wind power generation by virtue of their multilevel topology. The traditional three-vector model predictive control can solve the problems of current harmonics and unfixed switching frequency that exist in the single-vector model predictive control, but the traditional three-vector model predictive control still has the problems of large computation and difficult design of weighting factors. Based on this, this paper proposes a three-vector model predictive current control without weighting factors. The method firstly selects the voltage vectors by dividing the sectors to eliminate the weighting factors, secondly adopts the principle of non-differential beat control to obtain the reference voltage and the optimal sectors, and finally calculates the action time of each vector and designs the switching sequences by means of the cost function. The experimental results show that the proposed control strategy can quickly regulate the midpoint potential balance, and the current harmonic content is reduced to 3.5%. Three-phase NPC inverter Model predictive current control Neutral point potential balance Weight factor Delay compensation Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 22 Aug, 2025 Read the published version in Electrical Engineering → Version 1 posted Editorial decision: Revision requested 21 Jun, 2025 Reviews received at journal 18 Jun, 2025 Reviews received at journal 31 May, 2025 Reviewers agreed at journal 28 May, 2025 Reviewers agreed at journal 27 May, 2025 Reviewers invited by journal 27 May, 2025 Editor assigned by journal 14 Mar, 2025 Submission checks completed at journal 13 Mar, 2025 First submitted to journal 13 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. 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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-6217397","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":462903191,"identity":"3f4996f3-3617-45c4-86db-abe2f54768d6","order_by":0,"name":"Lei 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