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Energies 2014, 7(6), 4033-4053;

An Intelligent Fuzzy Logic Controller for Maximum Power Capture of Point Absorbers

Electrical Engineering Department, United Arab Emirates University, Al Ain, P.O. Box 15551, UAE
Department of Electrical and Electronics Engineering, Lebanese International University, Beirut, P.O. Box 146404, Lebanon
Author to whom correspondence should be addressed.
Received: 13 March 2014 / Revised: 29 May 2014 / Accepted: 13 June 2014 / Published: 24 June 2014
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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. View Full-Text
Keywords: wave energy; fuzzy logic; power take-off; particle swarm optimization wave energy; fuzzy logic; power take-off; particle swarm optimization
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Jama, M.; Wahyudie, A.; Assi, A.; Noura, H. An Intelligent Fuzzy Logic Controller for Maximum Power Capture of Point Absorbers. Energies 2014, 7, 4033-4053.

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