State Estimation for advanced control of wave energy converters
DOI
10.15473/1432538
Publicly accessible
License
A report on state estimation for advanced control of wave energy converters (WECs), with supporting data models and slides from the overview presentation. The methods discussed are intended for use to enable real-time closed loop control of WECs.
Citation Formats
TY - DATA
AB - A report on state estimation for advanced control of wave energy converters (WECs), with supporting data models and slides from the overview presentation. The methods discussed are intended for use to enable real-time closed loop control of WECs.
AU - Coe, Ryan
A2 - Bacelli, Giorgio
DB - Marine and Hydrokinetic Data Repository
DP - Open EI | National Renewable Energy Laboratory
DO - 10.15473/1432538
KW - MHK
KW - Marine
KW - Hydrokinetic
KW - energy
KW - power
KW - wec
KW - control
KW - state estimation
KW - closed loop control
KW - wave energy converter
KW - wave
KW - algorithm
KW - position
KW - pressure
KW - prediction
KW - foreknowledge
KW - 1-DOF
KW - hydrodynamics
KW - model predictive control
KW - closed-loop
KW - surge converter
KW - heave
KW - surge
KW - actuator
KW - Sandia National Laboratories
KW - MATLAB
KW - Advanced WEC Dynamics and Controls
LA - English
DA - 2017/04/25
PY - 2017
PB - Sandia National Laboratories
T1 - State Estimation for advanced control of wave energy converters
UR - https://doi.org/10.15473/1432538
ER -
Coe, Ryan, and Giorgio Bacelli. State Estimation for advanced control of wave energy converters. Sandia National Laboratories, 25 April, 2017, Marine and Hydrokinetic Data Repository. https://doi.org/10.15473/1432538.
Coe, R., & Bacelli, G. (2017). State Estimation for advanced control of wave energy converters. [Data set]. Marine and Hydrokinetic Data Repository. Sandia National Laboratories. https://doi.org/10.15473/1432538
Coe, Ryan and Giorgio Bacelli. State Estimation for advanced control of wave energy converters. Sandia National Laboratories, April, 25, 2017. Distributed by Marine and Hydrokinetic Data Repository. https://doi.org/10.15473/1432538
@misc{MHKDR_Dataset_212,
title = {State Estimation for advanced control of wave energy converters},
author = {Coe, Ryan and Bacelli, Giorgio},
abstractNote = {A report on state estimation for advanced control of wave energy converters (WECs), with supporting data models and slides from the overview presentation. The methods discussed are intended for use to enable real-time closed loop control of WECs.},
url = {https://mhkdr.openei.org/submissions/212},
year = {2017},
howpublished = {Marine and Hydrokinetic Data Repository, Sandia National Laboratories, https://doi.org/10.15473/1432538},
note = {Accessed: 2025-04-26},
doi = {10.15473/1432538}
}
https://dx.doi.org/10.15473/1432538
Details
Data from Apr 25, 2017
Last updated Feb 1, 2023
Submitted Apr 25, 2017
Organization
Sandia National Laboratories
Contact
Ryan Coe
Authors
Keywords
MHK, Marine, Hydrokinetic, energy, power, wec, control, state estimation, closed loop control, wave energy converter, wave, algorithm, position, pressure, prediction, foreknowledge, 1-DOF, hydrodynamics, model predictive control, closed-loop, surge converter, heave, surge, actuator, Sandia National Laboratories, MATLAB, Advanced WEC Dynamics and ControlsDOE Project Details
Project Name Advanced WEC Controls
Project Lead Alison LaBonte
Project Number FY17 AOP 110702
