Publication
A communication-based distributed model predictive control approach for large-scale systems
Conference Article
Conference
IEEE Conference on Decision and Control (CDC)
Edition
58th
Pages
8366-8371
Doc link
https://doi.org/10.1109/CDC40024.2019.9030085
File
Authors
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Segovia Castillo, Pau
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Rajaoarisoa, Lala
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Nejjari Akhi-Elarab, Fatiha
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Duviella, Eric
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Puig Cayuela, Vicenç
Abstract
This work presents a distributed model predictive control strategy as an alternative to conventional centralized approaches, which often suffer from implementation issues when applied to large-scale systems. The overall system is partitioned into minimally coupled subsystems based on its structural properties. Then, the coordination among the subproblems is achieved by means of a communication protocol, which allows each local controller to broadcast its solution to the rest of controllers with a coupled variable. The proposed approach is tested on the quadruple-tank process, and its effectiveness is proved by comparing the obtained results to those documented in an existing benchmark.
Categories
predictive control.
Author keywords
Large-scale systems, model predictive control, non-centralized control, distributed control
Scientific reference
P. Segovia, L. Rajaoarisoa, F. Nejjari, E. Duviella and V. Puig. A communication-based distributed model predictive control approach for large-scale systems, 58th IEEE Conference on Decision and Control, 2019, Nice, France, pp. 8366-8371, IEEE.
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