Mobile Model Predictive Control for the Evora irrigation test canal

被引：5
|
作者：
Lopez Rodriguez, F. [1 ]
Horvath, K. [2 ]
Garcia Martin, J. [1 ]
Maestre, J. M. [1 ,3 ]
机构：
[1] Univ Seville, Dept Syst & Automat, Ave Descubrimientos S-N, Seville 41092, Spain
[2] Eindhoven Univ Technol, Dept Mech Engn, Bldg Gemini Zuid Groene Loper, NL-5600 MB Eindhoven, Netherlands
[3] Tokyo Inst Technol, Dept Comp Sci, Sch Comp, Midori Ku, 4259-J2-54,Nagatsuta Cho, Yokohama, Kanagawa 2268502, Japan
来源：
IFAC PAPERSONLINE | 2017年 / 50卷 / 01期
基金：
日本学术振兴会;
关键词：
Predictive control; automatic control; control applications; OPEN WATER CHANNEL; SYSTEM; DESIGN;
D O I：
10.1016/j.ifacol.2017.08.614
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Mobile Model Predictive control is a novel control technique for irrigation canals that optimizes the actions carried out by human operators. In this paper it is assessed preliminary by means of the numerical model of a reduced scale laboratory irrigation canal located in the facilities of the University of Evora (Portugal). Other control algorithms have also been tested by using a numerical model of the canal and compared with the novel control method: proportional integral control, linear quadratic regulator and centralized model predictive control. The results show that mobile model predictive control offers a performance comparable to that of fully automatic control despite being based exclusively on human operation. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码：6570 / 6575
页数：6
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