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

Rafael Guardeño, Agustín Consegliere and Manuel J. López
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Rafael Guardeño: Escuela Superior de Ingeniería, Universidad de Cádiz, 11519 Puerto Real, Spain
Agustín Consegliere: Escuela Superior de Ingeniería, Universidad de Cádiz, 11519 Puerto Real, Spain
Manuel J. López: Escuela Superior de Ingeniería, Universidad de Cádiz, 11519 Puerto Real, Spain

Energies, 2018, vol. 11, issue 10, 1-23

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.

Keywords: wave energy converter; model predictive control; robustness analysis; embedded integrator; mathematical model; system identification; JONSWAP spectrum (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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