GoRoSoBo simplified: an accurate feedback control algorithm in real time for irrigation canals

被引:6
作者
Bonet, Enric [1 ]
Gomez, Manuel [1 ]
Yubero, M. T. [1 ]
Fernandez-Francos, J. [2 ]
机构
[1] Flumen Inst, Barcelona Sch Civil Engn, C Jordi Girona 1, Barcelona 08034, Spain
[2] Univ Oviedo, Polytech Sch Mieres, Energy Dept, Hydraul Engn Sect, C Gonzalo Gutierrez Quiros S-N, Mieres 33600, Asturias, Spain
关键词
agricultural demands; canal control; flow rate extractions; open channel flow; optimization algorithms; FLOW;
D O I
10.2166/hydro.2019.159
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
An irrigation canal is a hydraulic system whose main objective is to convey water from a source (dam, river) to different users. Such systems can be very large (several tens or hundreds of kilometers), characterized by time delays and non-linear dynamics, strong unknown perturbations and interactions among subsystems. In order to fulfill the requirements of canal users, the water manager must control all water deliveries during the irrigation cycle (or irrigation program) calculating the gate positions of the canal according to the water demands in real time. Initially, our overall control diagram in real time is mainly represented by two algorithms, the canal survey estimation algorithm (this algorithm estimates the water level and velocity along the irrigation canal during a past time horizon) and GoRoSoBo algorithm (feedback control algorithm operating in real time). Regarding long canals with several gates and pumps operating in a short period of time for a long predictive horizon, the initial version of GoRoSoBo algorithms would spend too much time calculating the canal gate position in real time. This is the reason why we have upgraded the code of the GoRoSoBo algorithm, saving in computational time around 85%, in order to operate in real time.
引用
收藏
页码:945 / 961
页数:17
相关论文
共 21 条
[1]   Predictive control of irrigation canals - robust design and real-time implementation [J].
Aguilar, Jose V. ;
Langarita, Pedro ;
Rodellar, Jose ;
Linares, Lorenzo ;
Horvath, Klaudia .
WATER RESOURCES MANAGEMENT, 2016, 30 (11) :3829-3843
[2]   Constrained Predictive Control of an Irrigation Canal [J].
Alvarez, A. ;
Ridao, M. A. ;
Ramirez, D. R. ;
Sanchez, L. .
JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING, 2013, 139 (10) :841-854
[3]   Comparison of numerical procedures for gate stroking [J].
Bautista, E ;
Clemmens, AJ ;
Strelkoff, T .
JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING, 1997, 123 (02) :129-136
[4]  
Bonet E., 2015, THESIS
[5]   GoRoSoBo: an overall control diagram to improve the efficiency of water transport systems in real time [J].
Bonet, Enrique ;
Gomez, Manuel ;
Yubero, M. T. ;
Fernandez-Francos, J. .
JOURNAL OF HYDROINFORMATICS, 2017, 19 (03) :364-384
[6]   CSE algorithm: 'canal survey estimation' to evaluate the flow rate extractions and hydraulic state in irrigation canals [J].
Bonet, Enrique ;
Gomez, Manuel ;
Soler, Joan ;
Yubero, M. T. .
JOURNAL OF HYDROINFORMATICS, 2017, 19 (01) :62-80
[7]  
Chevereau G., 1991, THESIS
[8]  
Clemmens A. J, 2013, J IRRIGATION DRAINAG, V130, P35
[9]   Test cases for canal control algorithms [J].
Clemmens, AJ ;
Kacerek, TF ;
Grawitz, B ;
Schuurmans, W .
JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING, 1998, 124 (01) :23-30
[10]  
Fletcher R., 1987, Practical Methods of Optimization. Volume 2. Constrained Optimization