Distributed Model Predictive Control Applied to a Four Interconnected Tank Process

This paper presents the development of an distributed optimal predictive control (DOMPC), this controller is based on the centralized optimal predictive control (OMPC) and the dual-mode predictive control. This adaptation encompasses the partition of the system in s subsystems and the distributed op...

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Bibliographic Details
Published in:Revista iberoamericana de automática e informática industrial 2015-10, Vol.12 (4), p.365-375
Main Authors: Felipe D.J. Sorcia Vázquez, Carlos D. García Beltrán, Guillermo Valencia Palomo, Gerardo Guerrero Ramírez, Manuel Adam Medina, Ricardo Escobar Jiménez
Format: Article
Language:Spanish
Subjects:
Control distribuido
Control predictivo
Online Access:Get full text
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Summary:This paper presents the development of an distributed optimal predictive control (DOMPC), this controller is based on the centralized optimal predictive control (OMPC) and the dual-mode predictive control. This adaptation encompasses the partition of the system in s subsystems and the distributed optimization of the control signals. It is assumed that the controllers are connected by a local area network, which introduces a communication delay of one sampling instant. The proposed scheme is applied to a 4 tanks benchmark system and it is compared with the centralized OMPC scheme.
ISSN:1697-7912
1697-7920
DOI:10.1016/j.riai.2015.07.002