Self-tunable fuzzy logic controller for the optimization of heaving wave energy converters

Mohammed Jama, Ali Assi, Addy Wahyudie, Hassan Noura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

Abstract

This paper proposes a new suboptimal reactive control technique for controlling single body heaving wave energy converter (WEC). A self-tunable fuzzy logic controller is implemented to maximize the absorbed energy while respecting the physical limitations of the device. Particle swarm optimization (PSO) algorithm is utilized to carry out an on-line optimization process of the fuzzy membership functions (MFs) embedded in the fuzzy controller. The proposed PSO-FLC out-performed the conventional fuzzy logic controller (C-FLC) in terms of improving reference signal tracking accuracy, widening the device wave absorption bandwidth, and preserving a degree of robustness to model uncertainties.

Original languageEnglish
Title of host publication2012 International Conference on Renewable Energy Research and Applications, ICRERA 2012
DOIs
Publication statusPublished - Dec 1 2012
Event1st International Conference on Renewable Energy Research and Applications, ICRERA 2012 - Nagasaki, Japan
Duration: Nov 11 2012Nov 14 2012

Publication series

Name2012 International Conference on Renewable Energy Research and Applications, ICRERA 2012

Other

Other1st International Conference on Renewable Energy Research and Applications, ICRERA 2012
Country/TerritoryJapan
CityNagasaki
Period11/11/1211/14/12

Keywords

  • PSO
  • WEC
  • Wave energy
  • fuzzy logic controller
  • wave energy converter

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment

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