TY - GEN
T1 - An energy-maximising mpc solution to the wec control competition
AU - Tona, Paolino
AU - Sabiron, Guillaume
AU - Nguyen, Hoai Nam
N1 - Publisher Copyright:
© 2019 American Society of Mechanical Engineers (ASME). All rights reserved.
PY - 2019/1/1
Y1 - 2019/1/1
N2 - The WEC Control Competition is a benchmark devised to compare energy-maximising controllers for wave energy converters, first in simulation, then in real time, using a scale device in a tank test situation. For the first round of the competition, the evaluators have provided a model of a leg of a Wavestar-like device, in the WEC-Sim simulation environment. The evaluation is based on an energy-related criterion computed on six irregular waves. IFPEN's solution is an energy-maximising model predictive control (MPC), composed of an estimation algorithm for wave excitation force moment, using measurements (or estimations) of float displacement and velocity and PTO moment; an algorithm for short-term wave force prediction from present and past wave excitation force estimates, where no information about wave elevation is used; a real-time compatible MPC algorithm using wave force prediction, which maximises the average produced electric energy, taking into account the nonlinear PTO efficiency law.
AB - The WEC Control Competition is a benchmark devised to compare energy-maximising controllers for wave energy converters, first in simulation, then in real time, using a scale device in a tank test situation. For the first round of the competition, the evaluators have provided a model of a leg of a Wavestar-like device, in the WEC-Sim simulation environment. The evaluation is based on an energy-related criterion computed on six irregular waves. IFPEN's solution is an energy-maximising model predictive control (MPC), composed of an estimation algorithm for wave excitation force moment, using measurements (or estimations) of float displacement and velocity and PTO moment; an algorithm for short-term wave force prediction from present and past wave excitation force estimates, where no information about wave elevation is used; a real-time compatible MPC algorithm using wave force prediction, which maximises the average produced electric energy, taking into account the nonlinear PTO efficiency law.
U2 - 10.1115/omae2019-95197
DO - 10.1115/omae2019-95197
M3 - Conference contribution
AN - SCOPUS:85075867730
T3 - Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE
BT - Ocean Renewable Energy
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2019
Y2 - 9 June 2019 through 14 June 2019
ER -