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-2 | Engels |
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Titel | 2023 62nd IEEE Conference on Decision and Control, CDC 2023 |
Uitgeverij | Institute of Electrical and Electronics Engineers |
Pagina's | 8376-8381 |
Aantal pagina's | 6 |
ISBN van elektronische versie | 979-8-3503-0124-3 |
DOI's | |
Status | Gepubliceerd - 19 jan. 2024 |
Evenement | 2023 62nd IEEE Conference on Decision and Control (CDC) - Singapore, Singapore Duur: 13 dec. 2023 → 15 dec. 2023 Congresnummer: 62 |
Congres
Congres | 2023 62nd IEEE Conference on Decision and Control (CDC) |
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Verkorte titel | CDC 2023 |
Land/Regio | Singapore |
Stad | Singapore |
Periode | 13/12/23 → 15/12/23 |