Ponencia
Two-layer Coalitional Model Predictive Control for Parabolic-Trough Collector Fields
Autor/es | Sánchez Amores, Ana
Maestre Torreblanca, José María Camacho, Eduardo F. |
Departamento | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática |
Fecha de publicación | 2023-07 |
Fecha de depósito | 2024-03-05 |
Publicado en |
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ISBN/ISSN | 9781713872344 2405-8963 |
Resumen | Coalitional control partitions a system into multiple clusters or coalitions that solve independent local subproblems in parallel. This paper presents a two-layer coalitional model predictive control approach for regulation ... Coalitional control partitions a system into multiple clusters or coalitions that solve independent local subproblems in parallel. This paper presents a two-layer coalitional model predictive control approach for regulation in constrained-coupled subsystems. We formulate a resource allocation mechanism to distribute the coupled constraint so that the global control problem can be solved in a decentralized manner, guaranteeing the satisfaction of the common constraint. In particular, a top layer will calculate the system's partition according to a given criterion and supervise the shared resource allocation. In turn, the lower control layer will calculate the local optimization problems for every coalition in a decentralized fashion, according to the available shared resource determined by the upper layer. This strategy is applied to regulate the outlet temperature of parabolic-trough solar collector fields, which are composed of a set of loops that remain coupled through a global shared resource constraint. |
Agencias financiadoras | Unión Europea, Horizonte 2020 Ministerio de Ciencia e Innovación (MICIN). España Agencia Estatal de Investigación. España |
Identificador del proyecto | PID2020-119476RB-100
MCIN/AEI/10.13039/501100011033 |
Cita | Sánchez Amores, A., Maestre, J.M. y Camacho, E.F. (2023). Two-layer Coalitional Model Predictive Control for Parabolic-Trough Collector Fields. En 22nd IFAC World Congress. IFAC-PapersOnLine (2023) Vol. 56, Issue 2 (3146-3151), Yokohama, Japan: Elsevier / International Federation of Automatic Control (IFAC). |
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