A linear dynamic model for a wave energy converter (WEC) has been developed based on the results of experimental wave tank testing. Based on this model, a model predictive control (MPC) strategy has been designed and implemented. To assess the performance of this control strategy, a deployment environment off the coast of Newport, OR has been selected and the controller has been used to simulate the WEC response in a set of irregular sea states. To better understand the influence of model accuracy on control performance, an uncertainty analysis has been performed by varying the parameters of the model used for the design of the controller (i.e. the control model), while keeping the WEC dynamic model employed in these simulations (i.e. the plant model) unaltered. The results of this study indicate a relative low sensitivity of the MPC control strategy to uncertainties in the controller model for the specific case studied here.
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ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering
June 25–30, 2017
Trondheim, Norway
Conference Sponsors:
- Ocean, Offshore and Arctic Engineering Division
ISBN:
978-0-7918-5778-6
PROCEEDINGS PAPER
An Assessment of WEC Control Performance Uncertainty
Ryan G. Coe,
Ryan G. Coe
Sandia National Laboratories, Albuquerque, NM
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Giorgio Bacelli,
Giorgio Bacelli
Sandia National Laboratories, Albuquerque, NM
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Ossama Abdelkhalik,
Ossama Abdelkhalik
Michigan Technological University, Houghton, MI
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David G. Wilson
David G. Wilson
Sandia National Laboratories, Albuquerque, NM
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Ryan G. Coe
Sandia National Laboratories, Albuquerque, NM
Giorgio Bacelli
Sandia National Laboratories, Albuquerque, NM
Ossama Abdelkhalik
Michigan Technological University, Houghton, MI
David G. Wilson
Sandia National Laboratories, Albuquerque, NM
Paper No:
OMAE2017-61912, V010T09A030; 6 pages
Published Online:
September 25, 2017
Citation
Coe, RG, Bacelli, G, Abdelkhalik, O, & Wilson, DG. "An Assessment of WEC Control Performance Uncertainty." Proceedings of the ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering. Volume 10: Ocean Renewable Energy. Trondheim, Norway. June 25–30, 2017. V010T09A030. ASME. https://doi.org/10.1115/OMAE2017-61912
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