TY - JOUR
T1 - ALADIN-based Distributed Model Predictive Control with dynamic partitioning
T2 - An application to Solar Parabolic Trough Plants
AU - Chanfreut Palacio, P.
AU - Maestre, J.M.
AU - Krishnamoorthy, D.
AU - Camacho, E.F.
PY - 2023/5/4
Y1 - 2023/5/4
N2 - 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 minimum performance losses, the number of variables to be coordinated. Numerical results on a 10-loop plant are presented.
AB - 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 minimum performance losses, the number of variables to be coordinated. Numerical results on a 10-loop plant are presented.
U2 - 10.48550/arXiv.2305.02821
DO - 10.48550/arXiv.2305.02821
M3 - Article
SN - 2331-8422
VL - 2023
JO - arXiv
JF - arXiv
M1 - 2305.02821
ER -