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Time-varying scheme for non-centralized model predictive control of large-scale systems
Nuñez Vicencio, Alfredo; Ocampo-Martínez, Carlos; Maestre Torreblanca, José María; De Schutter, Bart
Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
The Non-Centralized Model Predictive Control (NC-MPC) framework in this paper refers to any distributed, hierarchical, or decentralized model predictive controller (or a combination of them) the structure of which can change over time and the control actions of which are not obtained based on a centralized computation. Within this framework, we propose suitable on-line methods to decide which information is shared and how this information is used between the different local predictive controllers operating in a decentralized, distributed, and/or hierarchical way. Evaluating all the possible structures of the NC-MPC controller leads to a combinatorial optimization problem. Therefore, we also propose heuristic reduction methods, to keep tractable the number of NC-MPC problems to be solved. To show the benefits of the proposed framework, a case study of a set of coupled water tanks is presented.
Peer Reviewed
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
control system synthesis
control theory
optimisation
predictive control
model predictive control
large-scale systems
non-centralized control
time-varying control topologies
Classificació INSPEC::Control theory
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
info:eu-repo/semantics/submittedVersion
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