An Efficient ANFIS-Based PI Controller for Maximum Power Point Tracking of PV Systems

M. A. Abido, M. Sheraz Khalid, Muhammed Y. Worku*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

42 Scopus citations

Abstract

In this paper, an efficient adaptive neuro-fuzzy inference system (ANFIS)-based PI controller for maximum power point tracking (MPPT) of photovoltaic (PV) systems is proposed. The proposed ANFIS-based MPPT controller has the capacity to track the optimum point under the rapidly changing irradiation conditions with less fluctuations in steady state. The training data of the proposed controller are extracted from a precise PV model developed. The performance of the proposed controller is compared with the conventional incremental conductance method. Finally, the proposed ANFIS-based MPPT controller has been implemented experimentally using real-time digital simulator (RTDS) to simulate a PV system in real time, while the proposed ANFIS-based controller is implemented on dSPACE 1104 controller. Simulation and experimental results show that the proposed ANFIS-based MPPT controller has fast and accurate dynamic response with less fluctuations in steady state. In addition, its performance is superior as compared to the conventional methods.

Original languageEnglish
Pages (from-to)2641-2651
Number of pages11
JournalArabian Journal for Science and Engineering
Volume40
Issue number9
DOIs
StatePublished - 13 Sep 2015

Bibliographical note

Publisher Copyright:
© 2015, King Fahd University of Petroleum & Minerals.

Keywords

  • Adaptive network-based fuzzy inference system (ANFIS)
  • Maximum power point tracking (MPPT)
  • Photovoltaic (PV)
  • Real-time digital simulator (RTDS)
  • dSPACE controller

ASJC Scopus subject areas

  • General

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