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

Mohammed Jama, Addy Wahyudie, Ali Assi and Hassan Noura
Additional contact information
Mohammed Jama: Electrical Engineering Department, United Arab Emirates University, Al Ain, P.O. Box 15551, UAE
Addy Wahyudie: Electrical Engineering Department, United Arab Emirates University, Al Ain, P.O. Box 15551, UAE
Ali Assi: Department of Electrical and Electronics Engineering, Lebanese International University, Beirut, P.O. Box 146404, Lebanon
Hassan Noura: Electrical Engineering Department, United Arab Emirates University, Al Ain, P.O. Box 15551, UAE

Energies, 2014, vol. 7, issue 6, 1-21

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 (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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