Decentralized ellipsoidal state estimation for linear model predictive control of an irrigation canal

被引：16

作者：

Rodriguez, L. P. ^{[1
]}

Maestre, J. M. ^{[2
]}

Camacho, E. F. ^{[2
]}

Sanchez, M. C. ^{[3
]}

机构：

[1] Consejo Nacl Invest Cient & Tecn, Natl Sci & Tech Res Council, San Juan, Argentina

[2] Univ Seville, Dept Ingeniera Sistemas & Automat, Seville, Spain

[3] Planta Piloto Ingeniera Quim UNS CONICET, Bahia Blanca, Buenos Aires, Argentina

来源：

JOURNAL OF HYDROINFORMATICS | 2020年 / 22卷 / 03期

基金：

欧盟地平线“2020”;

关键词：

decentralized; ellipsoidal state estimation; irrigation canal model; predictive control; DEPENDENCE; SYSTEMS;

D O I：

10.2166/hydro.2020.150

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

A centralized linear MPC is used to stabilize an irrigation system whose operation is represented by an integrator-delay model. Since not all the state variables can be measured, a decentralized ellipsoidal estimation strategy is proposed. This approach keeps the quality of a centralized estimation and reduces significantly the computation time for the systems considered. An adaptation of Test Canal 1, developed by the ASCE Task Committee on Canal Automation Algorithms, is used as a case study to show the performance of the proposed methodology.

引用

页码：593 / 605

页数：13

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