An unknown input moving horizon estimator for open channel irrigation systems

Abstract

© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.The use of modeling and estimation strategies appears as a valuable tool to increase the efficiency of the open channel irrigation systems (OCIS). This paper is focused on exploring the feasibility, advantages, and conditions in the implementation of a moving horizon estimation (MHE) approach designed from an approximated model that contemplates mass and energy balances of the channels, which is useful to differentiate when a change of level is a conduction change effect, or when the change is due to an unknown input. The estimation strategy is evaluated via simulation using a test case reported in the literature. The results show that, with the use of the proposed estimation strategy, it is possible to reach an optimal estimation of the total amount of unknown inputs.This research has been supported by Septima Convocatoria Interna de Investigacion de la Universidad Central, Convocatoria Proyectos de Investigacion Conjunta Universidad de Ibague-Universidad de los Andes, the CSIC Project MuYSCA (Ref. COOPA20246), and the Project DEOCS DPI2016-76493-C3-3RPeer ReviewedPostprint (author's final draft