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A novel fuzzy logic control technique tuned by particle swarm optimization for maximum power point tracking for a photovoltaic system using a current-mode boost converter with bifurcation control

  • Noppadol Khaehintung
  • Anantawat Kunakorn
  • Phaophak Sirisuk
Regular Papers Control Applications

Abstract

This paper presents a novel fuzzy logic control technique tuned by particle swarm optimization (PSO-FLC) for maximum power point tracking (MPPT) for a photovoltaic (PV) system. The proposed PV system composes of a current-mode boost converter (CMBC) with bifurcation control. An optimal slope compensation technique is used in the CMBC to keep the system adequately remote from the first bifurcation point in spite of nonlinear characteristics and instabilities of this converter. The proposed PSO technique allows easy and more accurate tuning of FLC compared with the trial-and-error based tuning. Consequently, the proposed PSO-FLC method provides faster tracking of maximum power point (MPP) under varying light intensities and temperature conditions. The proposed MPPT technique is simple and particularly suitable for PV system equipped with CMBC. Experimental results are shown to confirm superiority of the proposed technique comparing with the conventional PVVC technique and the trial-and-error based tuning FLC.

Keywords

Bifurcation control current-mode boost converter fuzzy logic control maximum power point tracking particle swarm optimization photovoltaic system 

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Copyright information

© Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers and Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Noppadol Khaehintung
    • 1
  • Anantawat Kunakorn
    • 1
  • Phaophak Sirisuk
    • 2
  1. 1.Faculty of EngineeringKing Mongkut’s Institute of Technology LadkrabangBangkokThailand
  2. 2.Department of Computer Engineering, Faculty of EngineeringMahanakorn University of TechnologyBangkokThailand

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