Abstract
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.
Original language | English |
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Title of host publication | 2023 62nd IEEE Conference on Decision and Control, CDC 2023 |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 8376-8381 |
Number of pages | 6 |
ISBN (Electronic) | 979-8-3503-0124-3 |
DOIs | |
Publication status | Published - 19 Jan 2024 |
Event | 62nd IEEE Conference on Decision and Control, CDC 2023 - Singapore, Singapore Duration: 13 Dec 2023 → 15 Dec 2023 Conference number: 62 |
Conference
Conference | 62nd IEEE Conference on Decision and Control, CDC 2023 |
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Abbreviated title | CDC 2023 |
Country/Territory | Singapore |
City | Singapore |
Period | 13/12/23 → 15/12/23 |