Publication

Switching Model Predictive Control of canals characterized by large operating conditions

Conference Article

Conference

IFAC World Congress (IFAC)

Edition

2023

Pages

755-760

Doc link

https://doi.org/10.1016/j.ifacol.2023.10.1657

File

Download the digital copy of the doc pdf document

Authors

Abstract

This paper presents a switched linear system representation of water canal dynamics to incorporate different operating modes, which arise due to the occurrence of extreme weather phenomena such as flooding and drought episodes. To guarantee the stability during mode switching, a proper analysis on permanence regions–given by a collection of equilibrium states–for the switched linear system is presented. The permanence region is computed within a compact set, which depends on an adequate level region for the canals. A suitable algorithm is used to formulate an asymptotic stable Model Predictive Control (MPC) that steers and maintains the states of the system inside the target region indefinitely in a feasible manner. This strategy is successfully tested in a simulation using a realistic model of a canal.

Categories

predictive control.

Scientific reference

A. Anderson, P. Segovia, J. Garcia and E. Duviella. Switching Model Predictive Control of canals characterized by large operating conditions, 2023 IFAC World Congress, 2023, Yokohama, pp. 755-760.