Title :
Self-tunable fuzzy logic controller for the optimization of heaving wave energy converters
Author :
Jama, Mohammed ; Assi, Ali ; Wahyudie, Addy ; Noura, H.
Author_Institution :
Electr. Eng. Dept., UAE Univ., Al Ain, United Arab Emirates
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.
Keywords :
fuzzy control; particle swarm optimisation; power convertors; solar power; wind power; PSO algorithm; device wave absorption bandwidth; energy absorption; fuzzy membership function; heaving wave energy converter optimization; online optimization process; particle swarm optimization; reactive control technique; robustness degree; self-tunable fuzzy logic control; signal tracking accuracy; Damping; Force; Fuzzy logic; Mathematical model; Optimization; Robustness; Sea state; PSO; WEC; Wave energy; fuzzy logic controller; wave energy converter;
Conference_Titel :
Renewable Energy Research and Applications (ICRERA), 2012 International Conference on
Conference_Location :
Nagasaki
Print_ISBN :
978-1-4673-2328-4
Electronic_ISBN :
978-1-4673-2329-1
DOI :
10.1109/ICRERA.2012.6477273