Distributed Model Predictive Control Based on Nash Optimality for Large Scale Irrigation Systems

被引：9
|
作者：
Zhang, Rongchao [1 ]
Liu, Andong [1 ]
Yu, Li [1 ]
Zhang, Wen-an [1 ]
机构：
[1] Zhejiang Univ Technol, Dept Automat, Zhejiang Prov United Key Lab Embedded Syst, Hangzhou 310023, Zhejiang, Peoples R China
来源：
IFAC PAPERSONLINE | 2015年 / 48卷 / 08期
关键词：
Distributed model predictive control; Irrigation systems; Nash optimality; Large scale systems; OPTIMIZATION;
D O I：
10.1016/j.ifacol.2015.09.025
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Irrigation system is a large scale system, consisting of many interacting channels, and spanning vast geographical areas. In practice, the water level is expected to the desired reference values for safety and efficiency. In this paper, the model of irrigation system is modeled by the principle on conservation of mass. Because of the strong coupling between neighboring pools in irrigation system and large disturbance from the environment, a non-cooperative distributed model predictive control (NDMPC;) algorithm based on Nash optimality is proposed for the large scale irrigation system to design the controller for setting points regulation. Finally, a simulation example is given to demonstrate the effectiveness of the proposed algorithm. (C) 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码：551 / 555
页数：5
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