Fuzzy-logic-controller-based SEPIC converter for maximum power point tracking

Ahmad El Khateb, Nasrudin Abd Rahim, Jeyraj Selvaraj, Mohammad Nasir Uddin

Research output: Contribution to journalArticlepeer-review

195 Citations (Scopus)


This paper presents a fuzzy logic controller (FLC)-based single-ended primary-inductor converter (SEPIC) for maximum power point tracking (MPPT) operation of a photovoltaic (PV) system. The FLC proposed presents that the convergent distribution of the membership function offers faster response than the symmetrically distributed membership functions. The fuzzy controller for the SEPIC MPPT scheme shows high precision in current transition and keeps the voltage without any changes, in the variable-load case, represented in small steady-state error and small overshoot. The proposed scheme ensures optimal use of PV array and proves its efficacy in variable load conditions, unity, and lagging power factor at the inverter output (load) side. The real-time implementation of the MPPT SEPIC converter is done by a digital signal processor (DSP), i.e., TMS320F28335. The performance of the converter is tested in both simulation and experiment at different operating conditions. The performance of the proposed FLC-based MPPT operation of SEPIC converter is compared to that of the conventional proportional-integral (PI)-based SEPIC converter. The results show that the proposed FLC-based MPPT scheme for SEPIC can accurately track the reference signal and transfer power around 4.8% more than the conventional PI-based system. 

Original languageEnglish
Pages (from-to)2349-2358
JournalIEEE Transactions on Industry Applications
Issue number4
Early online date09 Jan 2014
Publication statusPublished - 15 Jul 2014


  • dc-dc power converters
  • Fuzzy control
  • photovoltaic cells
  • proportional-integral controller
  • real-time system

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Fuzzy-logic-controller-based SEPIC converter for maximum power point tracking'. Together they form a unique fingerprint.

Cite this