Direct Torque Control for a Six Phase Induction Motor Using a Fuzzy Based and Sliding Mode 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 Direct Torque Control for a Six Phase Induction Motor Using a Fuzzy Based and Sliding Mode Controller Mohamed I. Abdelwanis, Alaa A. Zaky, F Selim This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5079297/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 28 Apr, 2025 Read the published version in Scientific Reports → Version 1 posted 18 You are reading this latest preprint version Abstract Direct Torque Control (DTC) is widely recognized for its fast dynamic response and simplicity in controlling induction motors. However, conventional DTC suffers from drawbacks such as high torque and flux ripple, sensitivity to parameter variations, and poor performance under low-speed operation. This study proposes an enhanced DTC strategy for a modified six-phase induction motor (MSPIM) by integrating Fuzzy-Based Proportional-Integral-Derivative (FPID) control and Sliding Mode Control (SMC). The FPID controller is employed to regulate speed and flux, leveraging its adaptability and robustness to system uncertainties, while SMC is applied to torque control to ensure fast and precise tracking with reduced chattering. The six-phase induction motor, with its inherent fault-tolerant capabilities and reduced torque pulsations, serves as an ideal candidate for high-performance applications. Simulation and experimental results demonstrate that the proposed control strategy significantly reduces torque and flux ripple, improves dynamic response, and enhances robustness against parameter variations and load disturbances. This work highlights the potential of combining intelligent control techniques like FPID and SMC to advance the performance of DTC in multi-phase induction motor drives, particularly in applications requiring high reliability and efficiency.Based on simulation results, the fuzzy PID inverter reduces the speed error and THD of the current and voltage waveforms, thereby improving MSPIM's overall performance when compared to the regular PID. Physical sciences/Engineering Physical sciences/Mathematics and computing Modified six-phase induction motor SVPWM Fuzzy-PID DTC SMC Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 28 Apr, 2025 Read the published version in Scientific Reports → Version 1 posted Editorial decision: Revision requested 26 Mar, 2025 Reviews received at journal 26 Mar, 2025 Reviews received at journal 25 Mar, 2025 Reviewers agreed at journal 23 Mar, 2025 Reviews received at journal 22 Mar, 2025 Reviewers agreed at journal 20 Mar, 2025 Reviews received at journal 20 Mar, 2025 Reviewers agreed at journal 20 Mar, 2025 Reviewers agreed at journal 19 Mar, 2025 Reviewers agreed at journal 18 Mar, 2025 Reviewers agreed at journal 18 Mar, 2025 Reviewers agreed at journal 18 Mar, 2025 Reviewers agreed at journal 18 Mar, 2025 Reviewers agreed at journal 18 Mar, 2025 Reviewers agreed at journal 18 Mar, 2025 Reviewers 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-5079297","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":430773915,"identity":"9f46a3ea-021c-403e-b09e-e2375f5055b6","order_by":0,"name":"Mohamed I. 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