Model predictive control of parametric excited pitch-surge modes in wave energy converters
Abstract
A parametric excitation dynamic model is used for a three degrees-of-freedom (3-DOF) wave energy converter. Since the heave motion is uncoupled from the pitch and surge modes, the pitch-surge equations of motion can be treated as a linear time varying system, or a linear system with parametric excitation. In such case the parametric exciting frequency can be tuned to twice the natural frequency of the system for higher energy harvesting. A parametric excited 3-DOF wave energy converter can harvest more power, for both regular and irregular waves, compared to the linear 3-DOF. For example, in a Bretschneider wave, the harvested energy in the three modes is about 3.8 times the energy harvested in the heave mode alone; while the same device produces about 3.1 times the heave mode energy when using a linear 3-DOF model.
- Inventors:
- Issue Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Michigan Technological Univ., Houghton, MI (United States); South Dakota Board of Regents, Pierre, SD (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1576305
- Patent Number(s):
- 10415537
- Application Number:
- 15/837,885
- Assignee:
- National Technology & Engineering Solutions of Sandia, LLC (Albuquerque, NM); Michigan Technological University (Houghton, MI); South Dakota Board of Regents (Pierre, SD)
- Patent Classifications (CPCs):
-
F - MECHANICAL ENGINEERING F03 - MACHINES OR ENGINES FOR LIQUIDS F03B - MACHINES OR ENGINES FOR LIQUIDS
F - MECHANICAL ENGINEERING F05 - INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04 F05B - INDEXING SCHEME RELATING TO MACHINES OR ENGINES OTHER THAN NON-POSITIVE-DISPLACEMENT MACHINES OR ENGINES, TO WIND MOTORS, TO NON-POSITIVE DISPLACEMENT PUMPS, AND TO GENERATING COMBUSTION PRODUCTS OF HIGH PRESSURE OR HIGH VELOCITY
- DOE Contract Number:
- NA0003525
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 2017 Dec 11
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 16 TIDAL AND WAVE POWER; 42 ENGINEERING
Citation Formats
Abdelkhalik, Ossama, Robinett, III, Rush D., Zou, Shangyan, Wilson, David G., Bacelli, Giorgio, Korde, Umesh, and Coe, Ryan G. Model predictive control of parametric excited pitch-surge modes in wave energy converters. United States: N. p., 2019.
Web.
Abdelkhalik, Ossama, Robinett, III, Rush D., Zou, Shangyan, Wilson, David G., Bacelli, Giorgio, Korde, Umesh, & Coe, Ryan G. Model predictive control of parametric excited pitch-surge modes in wave energy converters. United States.
Abdelkhalik, Ossama, Robinett, III, Rush D., Zou, Shangyan, Wilson, David G., Bacelli, Giorgio, Korde, Umesh, and Coe, Ryan G. Tue .
"Model predictive control of parametric excited pitch-surge modes in wave energy converters". United States. https://www.osti.gov/servlets/purl/1576305.
@article{osti_1576305,
title = {Model predictive control of parametric excited pitch-surge modes in wave energy converters},
author = {Abdelkhalik, Ossama and Robinett, III, Rush D. and Zou, Shangyan and Wilson, David G. and Bacelli, Giorgio and Korde, Umesh and Coe, Ryan G.},
abstractNote = {A parametric excitation dynamic model is used for a three degrees-of-freedom (3-DOF) wave energy converter. Since the heave motion is uncoupled from the pitch and surge modes, the pitch-surge equations of motion can be treated as a linear time varying system, or a linear system with parametric excitation. In such case the parametric exciting frequency can be tuned to twice the natural frequency of the system for higher energy harvesting. A parametric excited 3-DOF wave energy converter can harvest more power, for both regular and irregular waves, compared to the linear 3-DOF. For example, in a Bretschneider wave, the harvested energy in the three modes is about 3.8 times the energy harvested in the heave mode alone; while the same device produces about 3.1 times the heave mode energy when using a linear 3-DOF model.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Sep 17 00:00:00 EDT 2019},
month = {Tue Sep 17 00:00:00 EDT 2019}
}
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