Distributed Model Predictive Control of Irrigation Systems using Cooperative Controllers

被引：17
|
作者：
Le-Duy-Lai Nguyen [1 ,2 ]
Prodan, Ionela [1 ]
Lefevre, Laurent [1 ,2 ]
Genon-Catalot, Denis [1 ]
机构：
[1] Univ Grenoble Alpes, Grenoble INP, LCIS, F-26000 Valence, France
[2] Asian Ctr Water Res, CARE, Ho Chi Minh City, Vietnam
来源：
IFAC PAPERSONLINE | 2017年 / 50卷 / 01期
关键词：
Irrigation systems; Lattice Boltzmann (LB) method; Model Predictive Control (MPC); cooperative control; distributed and decentralized control;
D O I：
10.1016/j.ifacol.2017.08.612
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper investigates the regulatory control of large-scale irrigation systems under a Distributed Cooperative Model Predictive Control (DCMPC) framework. We first address the challenging issue of providing a mathematical model for an irrigation system with an inherent complex dynamics using the Lattice Boltzmann (LB) method. Next, we discuss different control implementation strategies (i.e., decentralized and distributed strategies) and how the cooperation among local MPC controllers can be included to improve the performance of the overall system. For simulations, a particular benchmark of an irrigation canal is considered. Comparisons through simulations among the proposed control approaches validate the benefits of the cooperative distributed control approach. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码：6564 / 6569
页数：6
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