An intelligent fuzzy logic controller for maximum power capture of point absorbers

Mohammed Jama, Addy Wahyudie, Ali Assi, Hassan Noura

Research output: Contribution to journalArticlepeer-review

25 Citations (Scopus)


This article presents an intelligent fuzzy logic controller (FLC) for controlling single-body heaving wave energy converter (WEC) or what is widely known as "Point Absorber". The controller aims at maximizing the energy captured from the sea waves. The power take-off (PTO) limitations are addressed implicitly in the fuzzy inference system (FIS) framework. In order to enhance the WEC power capturing bandwidth and make it less susceptible to wave environment irregularities and the system parametric uncertainties, the controller is built to have a self-configurable capability. This also eliminates the need to repeatedly run in-situ tuning procedure of the fuzzy controller or switch between several controllers based on the operating conditions. The fuzzy membership functions (MFs) are optimally tuned using particle swarm optimization (PSO) algorithm. To alleviate the computational burden associated with performing on-line optimization, the fuzzy controller is tuned at a rate significantly lower than the system sampling time. The suggested PSO-FLC has shown promising results compared with the fixed structure fuzzy logic controller (FS-FLC) and other passive control strategies. Several computer simulations were carried out to evaluate the controller effectiveness by applying different sea-states and analyzing the resultant WEC dynamics.

Original languageEnglish
Pages (from-to)4033-4053
Number of pages21
Issue number6
Publication statusPublished - Jun 2014


  • Fuzzy logic
  • Particle swarm optimization
  • Power take-off
  • Wave energy

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Energy (miscellaneous)
  • Control and Optimization
  • Electrical and Electronic Engineering


Dive into the research topics of 'An intelligent fuzzy logic controller for maximum power capture of point absorbers'. Together they form a unique fingerprint.

Cite this