Title:
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Making non-centralized a model predictive control scheme by using distributed Smith dynamics
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Author:
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Barreiro Gómez, Julián; Obando, Germán; Ocampo-Martínez, Carlos; Quijano Silva, Nicanor
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Other authors:
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Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control |
Abstract:
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This paper proposes a non--centralized Model Predictive Control (MPC) scheme for a system comprised by several sub-systems. Operational constraints for each subsystem are considered as well as a single coupled constraint on the control inputs that models a limitation of the emph{resource} supplied by the controller. If the underlying optimization problem is of large-scale nature, traditional MPC suffers from computational burden issues. A cause of this problem is the requirement of having centralized information to guarantee that the computed control actions satisfy the coupled constraint. In this work, a traditional MPC is made non--centralized by means of a strategy based on distributed population dynamics. The proposed methodology divides the problem into several local MPC controllers that coordinate their decisions by using a communication network without the need of a centralized scheme. It is proved that this methodology provides an optimal solution that satisfies both the operational constraints of each sub--system, and the coupled constraint of the control signals. Finally, the proposed method is compared with a traditional centralized MPC in an industrial problem that involves several continuously stirred tank reactors. |
Abstract:
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Peer Reviewed |
Subject(s):
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-Àrees temàtiques de la UPC::Informàtica::Automàtica i control -Predictive control -optimal control -predictive control. -Control predictiu |
Rights:
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Document type:
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Article - Submitted version Conference Object |
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