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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Number of pages | 12 |
State | Published - 2017 |
Event | Annual International Offshore and Polar Engineering Conference (ISOPE) - San Francisco, California Duration: 25 Jun 2017 → 30 Jun 2017 |
Conference
Conference | Annual International Offshore and Polar Engineering Conference (ISOPE) |
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City | San Francisco, California |
Period | 25/06/17 → 30/06/17 |
Bibliographical note
See NREL/CP-5000-70752 for paper as published in ISOPE proceedingsNREL Publication Number
- NREL/CP-5000-67981
Keywords
- autoregressive parameterization
- model predictive control
- NREL
- wave energy converter
- wave forecast