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    An Analytical and Numerical Sensitivity and Robustness Analysis of Wave Energy Control Systems


    Ringwood, John and Mérigaud, Alexis and Faedo, Nicolás and Fusco, Francesco (2019) An Analytical and Numerical Sensitivity and Robustness Analysis of Wave Energy Control Systems. IEEE Transactions on Control Systems Technology. ISSN 1063-6536

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    Abstract

    Considerable effort has been expended on the design of control systems for wave energy converters (WECs) over the past two decades. Working from the fundamental requirement of impedance matching, a variety of conceptual and practical algorithms have emerged, which bring various levels of realism to the original complex conjugate ideal, facilitating maximum power transfer. Simplifications can be introduced, such as passive control and causal control, while some enhanced algorithms allow physical constraints to be observed, nonlinear model dynamics to be articulated, or nonideal power takeoff systems to be recognized. However, in general, model-based WEC control systems are evaluated in tandem with identical simulation models, while the sensitivity of controller performance to modeling errors is ignored. In addition, the WEC model utilized by the controller rarely, if ever, fully represents the nonlinear nature of the true WEC dynamics. This paper articulates this model sensitivity issue for different WEC control system architectures and shows that it is of potentially greater impact than for traditional regulation/servomechanism control problems. Recommendations are given on the best WEC control architecture to adopt from a sensitivity/robustness perspective.

    Item Type: Article
    Additional Information: This is the postprint version of the article, which has been accepted for inclusion in a future issue of the journal. Content is final as presented, with the exception of pagination.
    Keywords: Control system; robustness; sensitivity; wave energy;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Centre for Ocean Energy Research
    Item ID: 12391
    Identification Number: https://doi.org/10.1109/TCST.2019.2909719
    Depositing User: Professor John Ringwood
    Date Deposited: 07 Feb 2020 12:38
    Journal or Publication Title: IEEE Transactions on Control Systems Technology
    Publisher: IEEE
    Refereed: Yes
    URI:

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