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

Download the digital copy of the doc pdf document

Authors

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.