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A Fuzzy-Controlled High Voltage Gain DC–DC Converter for Renewable Applications

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Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1057))

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Abstract

In this manuscript, a non-isolated converter with high static voltage gain is presented. The designed converter has the feature of stable frequency and output even though disturbance occurs. It also achieves extreme voltage conversion, good efficiency, low voltage stress and less switching loss. The voltage doubler technique is implemented in the designed converter. With reduced duty cycle, the high voltage conversion is achieved. The proposed single-switch converter is controlled by fuzzy-controlled technique. The functioning process of the converter below continuous conduction mode (CCM) is explained. The input source of 30 V is stepped up to 400 V. The simulative analysis of the proposed converter is complete with MATLAB and Simulink.

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Authors and Affiliations

  1. School of Electrical Engineering, Vellore Institute of Technology, Vellore, 632014, India

    T. Arunkumari & V. Indragandhi

Authors
  1. T. Arunkumari
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  2. V. Indragandhi
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Corresponding author

Correspondence to V. Indragandhi .

Editor information

Editors and Affiliations

  1. Department of Mathematics, National Institute of Technology Silchar, Silchar, Assam, India

    Kedar Nath Das

  2. Department of Mathematics, South Asian University, New Delhi, Delhi, India

    Jagdish Chand Bansal

  3. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Kusum Deep

  4. Department of Mathematics, Faculty of Science, Liverpool Hope University, Liverpool, UK

    Atulya K. Nagar

  5. School of Electrical Engineering, VIT University, Vellore, Tamil Nadu, India

    Ponnambalam Pathipooranam

  6. School of Electrical Engineering, VIT University, Vellore, Tamil Nadu, India

    Rani Chinnappa Naidu

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Arunkumari, T., Indragandhi, V. (2020). A Fuzzy-Controlled High Voltage Gain DC–DC Converter for Renewable Applications. In: Das, K., Bansal, J., Deep, K., Nagar, A., Pathipooranam, P., Naidu, R. (eds) Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 1057. Springer, Singapore. https://doi.org/10.1007/978-981-15-0184-5_13

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