Enhancing the Static and Dynamic Parameters in Asymmetrical Multilevel Inverter fed Induction Motor Drive operated at Low Switching Frequency

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This paper proposes an asymmetrical multilevel inverter with a dual carrier multi-reference PWM technique and adaptive fuzzy logic control for a PV-fed induction motor drive, achieving improved efficiency and reduced THD without filters.

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The paper studies a solar photovoltaic-fed induction motor drive that uses an Asymmetrical Multi-Level Inverter (AMLI) with low switch count, composed of two DC sources powered by PV panels, and implemented in MATLAB/Simulink. Using Dual Carrier Multi Reference PWM (DCMRPWM) and an adaptive fuzzy-logic closed-loop controller, the authors report faster settling time, improved efficiency, and reduced total harmonic distortion (THD) without a filter circuit, with performance compared against a standard PI controller. They also propose an optimal switching strategy aimed at reducing torque ripples, focusing on electromagnetic torque behavior under low switching frequency operation. As this is a Research Square preprint and not stated as peer reviewed, the main limitation is that findings have not undergone journal peer review. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

This article describes how to build a solar photovoltaic-fed multilevel inverter with a low switch count to power an induction motor. The proposed system consists of a photovoltaic (PV) panel, an Asymmetrical Multi-Level Inverter (AMLI), and an induction motor drive. The proposed AMLI is made up of two DC sources, which are powered by PV panels. The main advantage of this method is that it does not require an auxiliary circuit to generate negative levels. The MATLAB/ Simulink model is used to investigate an AMLI using a Dual Carrier Multi Reference PWM (DCMRPWM) technique for renewable energy applications. Likewise, the proposed work includes an adaptive fuzzy logic-based closed-loop control solution for faster induction machine settling time, higher system efficiency, and reduction in total harmonic distortion (THD) without the use of a filter circuit. The findings indicate that the proposed control system is effective at reducing losses and increasing system efficiency. The system's performance is also compared to that of the standard PI controller. Similarly, this paper proposes an optimal switching strategy for reducing torque ripples in an induction motor drive.
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Enhancing the Static and Dynamic Parameters in Asymmetrical Multilevel Inverter fed Induction Motor Drive operated at Low Switching Frequency | 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 Enhancing the Static and Dynamic Parameters in Asymmetrical Multilevel Inverter fed Induction Motor Drive operated at Low Switching Frequency Venkataramanan Karunanidhi, Vasantharaj Subramanian, Balamurugan Chinnapettai Ramilingam This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3095860/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This article describes how to build a solar photovoltaic-fed multilevel inverter with a low switch count to power an induction motor. The proposed system consists of a photovoltaic (PV) panel, an Asymmetrical Multi-Level Inverter (AMLI), and an induction motor drive. The proposed AMLI is made up of two DC sources, which are powered by PV panels. The main advantage of this method is that it does not require an auxiliary circuit to generate negative levels. The MATLAB/ Simulink model is used to investigate an AMLI using a Dual Carrier Multi Reference PWM (DCMRPWM) technique for renewable energy applications. Likewise, the proposed work includes an adaptive fuzzy logic-based closed-loop control solution for faster induction machine settling time, higher system efficiency, and reduction in total harmonic distortion (THD) without the use of a filter circuit. The findings indicate that the proposed control system is effective at reducing losses and increasing system efficiency. The system's performance is also compared to that of the standard PI controller. Similarly, this paper proposes an optimal switching strategy for reducing torque ripples in an induction motor drive. Asymmetrical Multi-Level Inverter Fuzzy Logic Control Sub Harmonic PWM (SHPWM) Dual Carrier Multi Reference PWM Electromagnetic Torque Torque Ripple Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted 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. 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