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An Assessment of WEC Control Performance Uncertainty

[+] Author Affiliations
Ryan G. Coe, Giorgio Bacelli, David G. Wilson

Sandia National Laboratories, Albuquerque, NM

Ossama Abdelkhalik

Michigan Technological University, Houghton, MI

Paper No. OMAE2017-61912, pp. V010T09A030; 6 pages
doi:10.1115/OMAE2017-61912
From:
  • ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering
  • Volume 10: Ocean Renewable Energy
  • Trondheim, Norway, June 25–30, 2017
  • Conference Sponsors: Ocean, Offshore and Arctic Engineering Division
  • ISBN: 978-0-7918-5778-6
  • Copyright © 2017 by ASME

abstract

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.

Copyright © 2017 by ASME
Topics: Uncertainty

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