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Title: Model Predictive Control of parametric excited pitch-surge modes in wave energy converters

Journal Article · · International Journal of Marine Energy
 [1]; ORCiD logo [1];  [1];  [1];  [2];  [2];  [2]
  1. Michigan Technological Univ., Houghton, MI (United States)
  2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
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For a heave-pitch-surge three-degrees-of-freedom wave energy converter, the heave mode is usually decoupled from the pitch-surge modes for small motions. The pitch-surge modes are usually coupled and are parametrically excited by the heave mode, depending on the buoy geometry. In this paper, a Model Predictive Control is applied to the parametric excited pitch-surge motion, while the heave motion is optimized independently. The optimality conditions are derived, and a gradient-based numerical optimization algorithm is used to search for the optimal control. Numerical tests are conducted for regular and Bretschneider waves. The results demonstrate that the proposed control can be implemented to harvest more than three times the energy that can be harvested using a heave-only wave energy converter. As a result, the energy harvested using a parametrically excited model is higher than that is harvested when using a linear model.

Research Organization:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
Grant/Contract Number:
AC04-94AL85000
OSTI ID:
1485453
Alternate ID(s):
OSTI ID: 1496468
Report Number(s):
SAND-2018-12264J; 669161
Journal Information:
International Journal of Marine Energy, Vol. 19, Issue C; ISSN 2214-1669
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

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Cited By (3)

Control of Three Degrees-of-Freedom Wave Energy Converters Using Pseudo-Spectral Methods journal January 2018
Control Strategies Applied to Wave Energy Converters: State of the Art journal August 2019
Towards Reduced-Order Models of Solid Oxide Fuel Cell journal July 2018

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