An improved fuzzy logic controller design for PV inverters utilizing differential search optimization

Ammar Hussein Mutlag, Hussain Shareef, Azah Mohamed, M. A. Hannan, Jamal Abd Ali

Research output: Contribution to journalArticlepeer-review

31 Citations (Scopus)

Abstract

This paper presents an adaptive fuzzy logic controller (FLC) design technique for photovoltaic (PV) inverters using differential search algorithm (DSA). This technique avoids the exhaustive traditional trial and error procedure in obtaining membership functions (MFs) used in conventional FLCs. This technique is implemented during the inverter design phase by generating adaptive MFs based on the evaluation results of the objective function formulated by the DSA. In this work, the mean square error (MSE) of the inverter output voltage is used as an objective function. The DSA optimizes the MFs such that the inverter provides the lowest MSE for output voltage and improves the performance of the PV inverter output in terms of amplitude and frequency. The design procedure and accuracy of the optimum FLC are illustrated and investigated using simulations conducted for a 3 kW three-phase inverter in a MATLAB/Simulink environment. Results show that the proposed controller can successfully obtain the desired output when different linear and nonlinear loads are connected to the system. Furthermore, the inverter has reasonably low steady state error and fast response to reference variation.

Original languageEnglish
Article number469313
JournalInternational Journal of Photoenergy
Volume2014
DOIs
Publication statusPublished - 2014
Externally publishedYes

ASJC Scopus subject areas

  • Chemistry(all)
  • Atomic and Molecular Physics, and Optics
  • Renewable Energy, Sustainability and the Environment
  • Materials Science(all)

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