A Study about Performance and Robustness of Model Predictive Controllers in a WEC System

Journal Article

Title: A Study about Performance and Robustness of Model Predictive Controllers in a WEC System

Author:

Guardeno, R.; Consegliere, A.; Lopez, M.

Publication Date:

October 1, 2018

Journal:

Energies

Volume:

Issue:

Pages:

2857

Publisher:

MDPI

Affiliation:

University of Cadiz

Technology:

Wave

Collection Method:

Modeling

Engineering:

Hybrid Devices, Structural

Document Access

Website:

External Link

Citation

Guardeno, R.; Consegliere, A.; Lopez, M. (2018). A Study about Performance and Robustness of Model Predictive Controllers in a WEC System. Energies, 11(10), 2857. https://doi.org/10.3390/en11102857

@article{Guardeno-2018-2639,
author = {Guardeno, R and Consegliere, A and Lopez, M},
title = {A Study about Performance and Robustness of Model Predictive Controllers in a WEC System},
journal = {Energies},
year = {2018},
month = {oct},
publisher = {MDPI},
volume = {11},
number = {10},
pages = {2857},
doi = {10.3390/en11102857},
url = {https://www.mdpi.com/1996-1073/11/10/2857},
keywords = {Wave, Modeling, Hybrid Devices, Structural},
}

Export Citation to BibTex

TY - JOUR
TI - A Study about Performance and Robustness of Model Predictive Controllers in a WEC System
AU - Guardeno, R
AU - Consegliere, A
AU - Lopez, M
T2 - Energies
AB - 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 absorber waves (PAWs) of the hybrid platform W2POWER. With the aim of maximizing the mechanical power extracted from the waves by these WECs and reducing their mechanical fatigue, the design of five different model predictive controllers (MPCs) with hard and soft constraints has been carried out. As a contribution of this paper, two of the MPCs have been designed with the addition of an embedded integrator. In order to analyze and compare the MPCs with conventional PI type control, an exhaustive study about performance and robustness is realized through the computer simulations carried out, in which uncertainties in the WEC dynamics and JONSWAP spectrum are considered. The results obtained show how the MPCs with embedded integrator improve power production of the WEC system studied in this work.
DA - 2018/10//
PY - 2018
PB - MDPI
VL - 11
IS - 10
SP - 2857
UR - https://www.mdpi.com/1996-1073/11/10/2857
DO - 10.3390/en11102857
LA - English
KW - Wave
KW - Modeling
KW - Hybrid Devices
KW - Structural
ER -

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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 absorber waves (PAWs) of the hybrid platform W2POWER. With the aim of maximizing the mechanical power extracted from the waves by these WECs and reducing their mechanical fatigue, the design of five different model predictive controllers (MPCs) with hard and soft constraints has been carried out. As a contribution of this paper, two of the MPCs have been designed with the addition of an embedded integrator. In order to analyze and compare the MPCs with conventional PI type control, an exhaustive study about performance and robustness is realized through the computer simulations carried out, in which uncertainties in the WEC dynamics and JONSWAP spectrum are considered. The results obtained show how the MPCs with embedded integrator improve power production of the WEC system studied in this work.