Imperial College London
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ProfessorAlessandroAstolfi

Faculty of Engineering, Department of Electrical and Electronic Engineering

College Consul for Faculty of Engineering & Business School
 
 
 
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Contact

 

+44 (0)20 7594 6289a.astolfi Website

 
 
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Assistant

 

Mrs Raluca Reynolds +44 (0)20 7594 6281

 
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Location

 

1112Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Faedo:2021:10.1109/TCST.2020.3047229,
author = {Faedo, N and Scarciotti, G and Astolfi, A and Ringwood, JV},
doi = {10.1109/TCST.2020.3047229},
journal = {IEEE Transactions on Control Systems Technology},
pages = {2533--2547},
title = {Nonlinear energy-maximising optimal control of wave energy systems: A moment-based approach},
url = {http://dx.doi.org/10.1109/TCST.2020.3047229},
volume = {29},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Linear dynamics are virtually always assumed when designing optimal controllers for wave energy converters (WECs), motivated by both their simplicity and computational convenience. Nevertheless, unlike traditional tracking control applications, the assumptions under which the linearization of WEC models is performed are challenged by the energy-maximizing controller itself, which intrinsically enhances device motion to maximize power extraction from incoming ocean waves. \GSIn this article, we present a moment-based energy-maximizing control strategy for WECs subject to nonlinear dynamics. We develop a framework under which the objective function (and system variables) can be mapped to a finite-dimensional tractable nonlinear program, which can be efficiently solved using state-of-the-art nonlinear programming solvers. Moreover, we show that the objective function belongs to a class of generalized convex functions when mapped to the moment domain, guaranteeing the existence of a global energy-maximizing solution and giving explicit conditions for when a local solution is, effectively, a global maximizer. The performance of the strategy is demonstrated through a case study, where we consider (state and input-constrained) energy maximization for a state-of-the-art CorPower-like WEC, subject to different hydrodynamic nonlinearities.
AU  - Faedo,N
AU  - Scarciotti,G
AU  - Astolfi,A
AU  - Ringwood,JV
DO  - 10.1109/TCST.2020.3047229
EP  - 2547
PY  - 2021///
SN  - 1063-6536
SP  - 2533
TI  - Nonlinear energy-maximising optimal control of wave energy systems: A moment-based approach
T2  - IEEE Transactions on Control Systems Technology
UR  - http://dx.doi.org/10.1109/TCST.2020.3047229
UR  - https://ieeexplore.ieee.org/document/9325539
UR  - http://hdl.handle.net/10044/1/86308
VL  - 29
ER  -
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