Abstract
Wave energy converter (WEC) control strategies have been primarily focused on maximizing power absorption. The use of model predictive control strategies allows for a finite-horizon, multiterm objective function to be solved. This work utilizes a multiterm objective function to maximize power absorption while minimizing the structural loads on the WEC system. Furthermore, a Kalman filter and autoregressive model were used to estimate and forecast the wave exciting force and predict the future dynamics of the WEC. The WEC's power-take-off time-averaged power and structural loads under a perfect forecast assumption in irregular waves were compared against results obtained from the Kalman filter and autoregressive model to evaluate model predictive control performance.
Original language | American English |
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Pages | 91-100 |
Number of pages | 10 |
State | Published - 2017 |
Event | 27th International Ocean and Polar Engineering Conference, ISOPE 2017 - San Francisco, United States Duration: 25 Jun 2017 → 30 Jun 2017 |
Conference
Conference | 27th International Ocean and Polar Engineering Conference, ISOPE 2017 |
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Country/Territory | United States |
City | San Francisco |
Period | 25/06/17 → 30/06/17 |
Bibliographical note
See NREL/CP-5000-67981 for preprintNREL Publication Number
- NREL/CP-5000-70752
Keywords
- Autoregressive parameterization
- Model predictive control
- Wave energy converter
- Wave forecast