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Genetic algorithms for the development and optimisation of wave energy converter control systems.

Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

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Genetic algorithms for the development and optimisation of wave energy converter control systems. / Gunn, K.; Taylor, C. James.
2008. Paper presented at 23rd European Institute for Applied Research Workshop on Advanced Control and Diagnosis, Coventry University, UK.

Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

Harvard

Gunn, K & Taylor, CJ 2008, 'Genetic algorithms for the development and optimisation of wave energy converter control systems.', Paper presented at 23rd European Institute for Applied Research Workshop on Advanced Control and Diagnosis, Coventry University, UK, 1/01/00.

APA

Gunn, K., & Taylor, C. J. (2008). Genetic algorithms for the development and optimisation of wave energy converter control systems.. Paper presented at 23rd European Institute for Applied Research Workshop on Advanced Control and Diagnosis, Coventry University, UK.

Vancouver

Gunn K, Taylor CJ. Genetic algorithms for the development and optimisation of wave energy converter control systems.. 2008. Paper presented at 23rd European Institute for Applied Research Workshop on Advanced Control and Diagnosis, Coventry University, UK.

Author

Gunn, K. ; Taylor, C. James. / Genetic algorithms for the development and optimisation of wave energy converter control systems. Paper presented at 23rd European Institute for Applied Research Workshop on Advanced Control and Diagnosis, Coventry University, UK.

Bibtex

@conference{8e6aa84f3dd14465b3bdd6de0196e551,
title = "Genetic algorithms for the development and optimisation of wave energy converter control systems.",
abstract = "Many strategies have been proposed for the control of wave energy converters (WECs). In order to evaluate these control strategies, they need to be optimised for realistic operating conditions. This paper develops a generic approach for WEC optimisation based on the use of Genetic Algorithms (GAs). Simulation results are presented for tuning an illustrative device in both sinusoidal and real waves; and for optimisation of both `slow tuning' and `latching' control systems. In contrast to conventional methods, the proposed GA successfully optimises the latching control algorithm for realistic seas without prior assumptions.",
keywords = "wave energy converters, optimisation, genetic algorithms, latching",
author = "K. Gunn and Taylor, {C. James}",
year = "2008",
language = "English",
note = "23rd European Institute for Applied Research Workshop on Advanced Control and Diagnosis ; Conference date: 01-01-1900",

}

RIS

TY - CONF

T1 - Genetic algorithms for the development and optimisation of wave energy converter control systems.

AU - Gunn, K.

AU - Taylor, C. James

PY - 2008

Y1 - 2008

N2 - Many strategies have been proposed for the control of wave energy converters (WECs). In order to evaluate these control strategies, they need to be optimised for realistic operating conditions. This paper develops a generic approach for WEC optimisation based on the use of Genetic Algorithms (GAs). Simulation results are presented for tuning an illustrative device in both sinusoidal and real waves; and for optimisation of both `slow tuning' and `latching' control systems. In contrast to conventional methods, the proposed GA successfully optimises the latching control algorithm for realistic seas without prior assumptions.

AB - Many strategies have been proposed for the control of wave energy converters (WECs). In order to evaluate these control strategies, they need to be optimised for realistic operating conditions. This paper develops a generic approach for WEC optimisation based on the use of Genetic Algorithms (GAs). Simulation results are presented for tuning an illustrative device in both sinusoidal and real waves; and for optimisation of both `slow tuning' and `latching' control systems. In contrast to conventional methods, the proposed GA successfully optimises the latching control algorithm for realistic seas without prior assumptions.

KW - wave energy converters

KW - optimisation

KW - genetic algorithms

KW - latching

M3 - Conference paper

T2 - 23rd European Institute for Applied Research Workshop on Advanced Control and Diagnosis

Y2 - 1 January 1900

ER -