Energies 2014, 7(6), 4033-4053; doi:10.3390/en7064033
Article

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

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Received: 13 March 2014; in revised form: 29 May 2014 / Accepted: 13 June 2014 / Published: 24 June 2014
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: 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.
Keywords: wave energy; fuzzy logic; power take-off; particle swarm optimization
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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.

AMA Style

Jama M, Wahyudie A, Assi A, Noura H. An Intelligent Fuzzy Logic Controller for Maximum Power Capture of Point Absorbers. Energies. 2014; 7(6):4033-4053.

Chicago/Turabian Style

Jama, Mohammed; Wahyudie, Addy; Assi, Ali; Noura, Hassan. 2014. "An Intelligent Fuzzy Logic Controller for Maximum Power Capture of Point Absorbers." Energies 7, no. 6: 4033-4053.

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