Pena-Sanchez, Yerai, Windt, Christian, Davidson, Josh and Ringwood, John V. (2020) A Critical Comparison of Excitation Force Estimators for Wave-Energy Devices. IEEE Transactions on Control Systems Technology, 28 (6). pp. 2263-2275. ISSN 1063-6536
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Abstract
The implementation of energy-maximizing control systems (EMCSs) can significantly increase the efficiency and economic viability of resonant wave-energy converters (WECs). To achieve optimal control and drive the WEC into resonance with the incoming wave field, knowledge of the wave excitation force is required. In operational conditions, this quantity is immeasurable and, thus, has to be estimated. This article presents a critical comparison of the available excitation force estimators found in the literature. A reference measurement of the excitation force is determined using computational fluid dynamics (CFD) simulation, allowing an absolute comparison of the different estimation strategies. The estimators are compared based on the required input data, achieved accuracy, computational delay, and estimation time. In total, 11 estimation strategies are compared, with three, in particular, emerging with relatively superior performance.
Item Type: | Article |
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Additional Information: | Cite as: Y. Peña-Sanchez, C. Windt, J. Davidson and J. V. Ringwood, "A Critical Comparison of Excitation Force Estimators for Wave-Energy Devices," in IEEE Transactions on Control Systems Technology, vol. 28, no. 6, pp. 2263-2275, Nov. 2020, doi: 10.1109/TCST.2019.2939092. |
Keywords: | Excitation force estimation; Kalman filter (KF); optimal control; unknown input estimation; wave energy; wave-energy converter (WEC) |
Academic Unit: | Faculty of Science and Engineering > Electronic Engineering |
Item ID: | 15954 |
Identification Number: | 10.1109/TCST.2019.2939092 |
Depositing User: | Professor John Ringwood |
Date Deposited: | 16 May 2022 10:43 |
Journal or Publication Title: | IEEE Transactions on Control Systems Technology |
Publisher: | IEEE Explore |
Refereed: | Yes |
Related URLs: | |
URI: | https://mu.eprints-hosting.org/id/eprint/15954 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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