ALADIN-Based Distributed Model Predictive Control with Dynamic Partitioning: An Application to Solar Parabolic Trough Plants

P. Chanfreut, J.M. Maestre, D. Krishnamoorthy, E.F. Camacho

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Samenvatting

This article presents a distributed model predictive controller with time-varying partitioning based on the augmented Lagrangian alternating direction inexact Newton method (ALADIN). In particular, we address the problem of controlling the temperature of a heat transfer fluid (HTF) in a set of loops of solar parabolic collectors by adjusting its flow rate. The control problem involves a nonlinear prediction model, decoupled inequality constraints, and coupled affine constraints on the system inputs. The application of ALADIN to address such a problem is combined with a dynamic clustering-based partitioning approach that aims at reducing, with min-imum performance losses, the number of variables to be coordinated. Numerical results on a 10-loop plant are presented.

Originele taal-2Engels
Titel2023 62nd IEEE Conference on Decision and Control, CDC 2023
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's8376-8381
Aantal pagina's6
ISBN van elektronische versie979-8-3503-0124-3
DOI's
StatusGepubliceerd - 19 jan. 2024
Evenement2023 62nd IEEE Conference on Decision and Control (CDC) - Singapore, Singapore
Duur: 13 dec. 202315 dec. 2023
Congresnummer: 62

Congres

Congres2023 62nd IEEE Conference on Decision and Control (CDC)
Verkorte titelCDC 2023
Land/RegioSingapore
StadSingapore
Periode13/12/2315/12/23

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