Guardeño, R.; Consegliere, A.; López, M.J. A Study about Performance and Robustness of Model Predictive Controllers in a WEC System. Energies2018, 11, 2857.
Guardeño, R.; Consegliere, A.; López, M.J. A Study about Performance and Robustness of Model Predictive Controllers in a WEC System. Energies 2018, 11, 2857.
Guardeño, R.; Consegliere, A.; López, M.J. A Study about Performance and Robustness of Model Predictive Controllers in a WEC System. Energies2018, 11, 2857.
Guardeño, R.; Consegliere, A.; López, M.J. A Study about Performance and Robustness of Model Predictive Controllers in a WEC System. Energies 2018, 11, 2857.
Abstract
This work is located in a growing sector within the field of renewable energies, wave energy converters (WECs). Specifically, it focuses on one of the point absorbers wave (PAWs) of the hybrid platform W2POWER. With the aim of maximising the mechanical power extracted from the waves by these WECs and reduce their mechanical fatigue, the design of five different model predictive controllers (MPCs) with hard and soft constraints has been carried out. As contribution of this paper, two of the MPCs have been designed with the addition of an embedded integrator. In order to validate the MPCs, an exhaustive study on performance and robustness is realized through simulations carried out in which uncertainties in the WEC dynamics are considered. Furthermore, looking for realistic in these simulations, an identification methodology for PAWs is proposed and validated by means of real time series of a scale prototype.
Keywords
wave energy converter; model predictive control; comparitive of robustness; embedded integrator; mathematical model; identification methodology; real time series
Subject
Engineering, Control and Systems Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
