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Analysis and design of single-phase power factor corrector with genetic algorithm and adaptive neuro-fuzzy-based sliding mode controller using DC–DC SEPIC

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Abstract

This paper proposes a methodology for single-phase power factor correction with DC–DC single-ended primary inductance converter (SEPIC) using cascade control strategy which comprises of genetic algorithm-based outer PI controller and an inner current controller which uses an adaptive neuro-fuzzy inference system-based sliding mode controller. DC–DC SEPIC is a fourth-order converter, and in order to reduce the complexity in controller design, reduced-order model of the original higher-order system is obtained by using Type-I Hankel matrix method. The performance of the proposed system is analysed using MATLAB/Simulink-based simulation studies. In order to ensure the robustness of the proposed controller, the performance parameters such as percentage total harmonic distortion, power factor, % voltage regulation, and % efficiency are analysed. From the simulation results, it is inferred that the proposed method provides efficient tracking of output voltage and effective source current shaping for load, line, and set point variations.

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Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, Rajalakshmi Engineering College Affiliated to Anna University, Chennai, Tamil Nadu, 602105, India

    Subbiah Durgadevi & Mallapu Gopinath Umamaheswari

  2. Department of Electronics and Instrumentation Engineering, Sri Sairam Engineering College Affiliated to Anna University, Chennai, Tamil Nadu, 600044, India

    Subbiah Durgadevi

Authors
  1. Subbiah Durgadevi
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  2. Mallapu Gopinath Umamaheswari
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Correspondence to Subbiah Durgadevi.

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Durgadevi, S., Umamaheswari, M.G. Analysis and design of single-phase power factor corrector with genetic algorithm and adaptive neuro-fuzzy-based sliding mode controller using DC–DC SEPIC. Neural Comput & Applic 31, 6129–6140 (2019). https://doi.org/10.1007/s00521-018-3424-2

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  • DOI: https://doi.org/10.1007/s00521-018-3424-2

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