Self-tunable fuzzy logic controller for the optimization of heaving wave energy converters

Mohammed Jama; Ali Assi; Addy Wahyudie; Hassan Noura

doi:10.1109/ICRERA.2012.6477273

Self-tunable fuzzy logic controller for the optimization of heaving wave energy converters

Mohammed Jama
, Ali Assi
, Addy Wahyudie
, Hassan Noura

Department of Electrical and Communication Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

20 Citations (Scopus)

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.

Original language	English
Title of host publication	2012 International Conference on Renewable Energy Research and Applications, ICRERA 2012
DOIs	https://doi.org/10.1109/ICRERA.2012.6477273
Publication status	Published - 2012
Event	1st International Conference on Renewable Energy Research and Applications, ICRERA 2012 - Nagasaki, Japan Duration: Nov 11 2012 → Nov 14 2012

Publication series

Name	2012 International Conference on Renewable Energy Research and Applications, ICRERA 2012

Other

Other	1st International Conference on Renewable Energy Research and Applications, ICRERA 2012
Country/Territory	Japan
City	Nagasaki
Period	11/11/12 → 11/14/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

PSO
WEC
Wave energy
fuzzy logic controller
wave energy converter

ASJC Scopus subject areas

Renewable Energy, Sustainability and the Environment

Access to Document

10.1109/ICRERA.2012.6477273

Cite this

Jama, M., Assi, A., Wahyudie, A., & Noura, H. (2012). Self-tunable fuzzy logic controller for the optimization of heaving wave energy converters. In 2012 International Conference on Renewable Energy Research and Applications, ICRERA 2012 Article 6477273 (2012 International Conference on Renewable Energy Research and Applications, ICRERA 2012). https://doi.org/10.1109/ICRERA.2012.6477273

Self-tunable fuzzy logic controller for the optimization of heaving wave energy converters. / Jama, Mohammed; Assi, Ali; Wahyudie, Addy et al.
2012 International Conference on Renewable Energy Research and Applications, ICRERA 2012. 2012. 6477273 (2012 International Conference on Renewable Energy Research and Applications, ICRERA 2012).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Jama, M, Assi, A, Wahyudie, A & Noura, H 2012, Self-tunable fuzzy logic controller for the optimization of heaving wave energy converters. in 2012 International Conference on Renewable Energy Research and Applications, ICRERA 2012., 6477273, 2012 International Conference on Renewable Energy Research and Applications, ICRERA 2012, 1st International Conference on Renewable Energy Research and Applications, ICRERA 2012, Nagasaki, Japan, 11/11/12. https://doi.org/10.1109/ICRERA.2012.6477273

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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.",

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AB - 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.

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Self-tunable fuzzy logic controller for the optimization of heaving wave energy converters

Abstract

Publication series

Other

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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