Numerical Optimal Control of Wave Energy Converters

Energy maximizing control for wave energy converters (WECs) is a nonstandard optimal control problem. While the constrained optimal control problem for WECs has been addressed by model-predictive control strategies, such strategies need to employ cost function modifications due to convexity problems...

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Veröffentlicht in:IEEE transactions on sustainable energy 2015-04, Vol.6 (2), p.294-302
Hauptverfasser: Bacelli, Giorgio, Ringwood, John V.
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description Energy maximizing control for wave energy converters (WECs) is a nonstandard optimal control problem. While the constrained optimal control problem for WECs has been addressed by model-predictive control strategies, such strategies need to employ cost function modifications due to convexity problems and the algorithms are computationally complex, making real-time implementation difficult. The recently developed family of direct transcription methods offer a promising alternative, since they are computationally efficient and a convex problem results. Moreover, constraints on both the device displacement and velocity, and power take off force, are easily incorporated. Both single-body and multibody device models can be used, as well as arrays of single-body or multibody devices.
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subjects Control systems
direct transcription
Equations
Force
Fourier series
Mathematical model
Method of moments
Optimal control
Vectors
wave energy
title Numerical Optimal Control of Wave Energy Converters
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