A Model Predictive Water-Level Difference Control Method for Automatic Control of Irrigation Canals

被引：13

作者：

Kong, Lingzhong ^{[1
]}

Lei, Xiaohui ^{[2
]}

Wang, Hao ^{[1
]}

Long, Yan ^{[2
]}

Lu, Longbin ^{[3
]}

Yang, Qian ^{[4
]}

机构：

[1] Zhejiang Univ, Coll Civil Engn & Architecture, Hangzhou 310058, Zhejiang, Peoples R China

[2] China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China

[3] Beijing Univ Technol, Coll Architecture & Civil Engn, Beijing 100124, Peoples R China

[4] Hohai Univ, Coll Water Conservancy & Hydropower Engn, Nanjing 210098, Jiangsu, Peoples R China

来源：

WATER | 2019年 / 11卷 / 04期

基金：

美国国家科学基金会;

关键词：

water level difference; MPC control; weight coefficient; canal automation;

D O I：

10.3390/w11040762

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

In this paper, automatic control of the water level in an irrigation canal by automatic regulation of intermediate gates was studied. Previous scholars have proposed a water level difference control strategy that works to keep relative deviations in all pools the same for a particular situation where the operator does not have full control over the canal inflow, with the centralized linear quadratic regulator (LQR) control method used. While in practice, the deviation tolerance of pools may differ in some canals which limits the applicability of the control strategy. In this work, a weight coefficient was added to the deviation and the algorithm was improved to keep the relative deviations to certain proportions. The model predictive control (MPC) method was then used with this improved control strategy and was compared to the LQR control method using the same control strategy. The results showed that the improved strategy can keep the water level deviations in all pools to certain proportions, as is our objective. Also, under this difference control strategy, the MPC method greatly improved the control performance compared to the LQR control method.

引用

页数：17