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Wind Turbine System based on Fuzzy Logic based MPPT Controller and Boost type Vienna
Dept of Electrical & Electronics Engg. Sasi Institute of Technology & Engineering Tadepalligudem (IND).
Dept of Electrical & Electronics Engg. SasDept. of Information Technology, MPSTME, NMIMS University, Mumbai (IND).
University West, Department of Engineering Science, Division of Production Systems. (KAMPT)ORCID iD: 0000-0002-4091-7732
2023 (English)In: Proceedings of the International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (ICIITCEE 2023), IEEE, 2023, p. 375-379Conference paper, Published paper (Refereed)
Abstract [en]

The MPPT (Maximum Power Point Tracking) control topology based on Fuzzy logic, and analysis of the Vienna Rectifier for the small-scale Wind Turbine System (WTS) is proposed in this paper. The PMSG (Permanent Magnet Synchronous Generator) of the WTS generates the output power that is fluctuated due to irregular wind velocity, which has to be controlled for the smooth output power. Many controlstrategies are projected by the researchers for the settled power output, but the conventional control techniques getting more complex. One of the simple and robust methods that enable for the MPPT is fuzzy logic control. The above mechanism regulates the speed of PMSG and the DC power output. Moreover, it is engaged in the parameter optimization and the speed control of the PMSG. A fuzzy logic MPPT controller based Vienna Rectifier is used in this paper for a 1kW WTS with improved efficiency and reduced harmonics, and the results are justified using MATLAB/Simulink.

Place, publisher, year, edition, pages
IEEE, 2023. p. 375-379
Keywords [en]
Maximum power point trackers, Fuzzy logic, Wind speed, Velocity control, Rectifiers, Wind power generation, Harmonic analysis, MPPT, Vienna Rectifier, Wind Turbine System, Fuzzy Logic Controller and SVPWM
National Category
Manufacturing, Surface and Joining Technology
Research subject
Production Technology
Identifiers
URN: urn:nbn:se:hv:diva-20017DOI: 10.1109/IITCEE57236.2023.10091023Scopus ID: 2-s2.0-85156181460ISBN: 978-1-6654-9260-7 (electronic)ISBN: 978-1-6654-9259-1 (print)ISBN: 978-1-6654-9261-4 (print)OAI: oai:DiVA.org:hv-20017DiVA, id: diva2:1760962
Conference
International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (ICIITCEE 2023), 27-28 January 2023, BNM Institute of Technology, Bengaluru, India
Available from: 2023-05-31 Created: 2023-05-31 Last updated: 2024-01-15Bibliographically approved

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Ramasamy, Sudha

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