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Fuzzy Logic Controller for Modeling of Wind Energy Harvesting System for Remote Areas

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Intelligent Computing and Optimization (ICO 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1072))

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Abstract

Green energy harvesting is the best option for reducing the pollution problems and increasing demand of energy throughout the world. Wind energy is one of recently getting attention for energy production due to ample availability. In this paper, the fuzzy logic control based maximum power point tracking controller is proposed to optimize the power by controlling the generator speed of the wind energy harvesting system for remote areas. The developed model provides constant output voltage and current that provides constant power to remote areas. The proposed control system is developed using Matlab/Simulink tool and the simulation result indicates better performance of the proposed system.

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Author information

Authors and Affiliations

  1. Department of Mathematics, Bule Hora University, Bule Hora, Ethiopia

    Tigilu Mitiku

  2. Department of Mathematics, Punjabi University, Patiala, India

    Tigilu Mitiku & Mukhdeep Singh Manshahia

Authors
  1. Tigilu Mitiku
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  2. Mukhdeep Singh Manshahia
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Corresponding author

Correspondence to Mukhdeep Singh Manshahia .

Editor information

Editors and Affiliations

  1. Department of Fundamental and Applied Sciences, Universiti Teknologi Petronas, Tronoh, Perak, Malaysia

    Pandian Vasant

  2. Computer Science, FEI, VSB-TU Ostrava, Ostrava, Czech Republic

    Ivan Zelinka

  3. Faculty of Engineering Management, Poznan University of Technology, Poznan, Poland

    Gerhard-Wilhelm Weber

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Mitiku, T., Manshahia, M.S. (2020). Fuzzy Logic Controller for Modeling of Wind Energy Harvesting System for Remote Areas. In: Vasant, P., Zelinka, I., Weber, GW. (eds) Intelligent Computing and Optimization. ICO 2019. Advances in Intelligent Systems and Computing, vol 1072. Springer, Cham. https://doi.org/10.1007/978-3-030-33585-4_4

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