Model-based Irrigation Control using Model Predictive Control and DSSAT Crop Simulator

被引：0

作者：

Jang, Jisung ^{[1
]}

Tian, Di ^{[2
]}

He, Q. Peter ^{[1
]}

机构：

[1] Auburn Univ, Dept Chem Engn, Auburn, AL 36849 USA

[2] Auburn Univ, Dept Crop Soil & Environm Sci, Auburn, AL 36849 USA

来源：

2022 AMERICAN CONTROL CONFERENCE, ACC | 2022年

关键词：

FORMULATION;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Water usage for agricultural irrigation has seen an increasing trend due to climate change. As a result, model-based irrigation management has drawn increased research interest in recent years. In this work, a widely used crop simulator, the Decision Support System for Agrotechnology Transfer (DSSAT), is utilized to evaluate the performance of a model predictive control (MPC) based irrigation control scheme. The total irrigation amount from MPC is compared to the rule-based irrigation plan from DSSAT, which are further evaluated based on the crop yields from different irrigation plans.

引用

页码：5314 / 5319

页数：6

共 50 条

[31] Agent-based model predictive control of soil-crop irrigation with topographical information
Lopez-Jimenez, Jorge
Quijano, Nicanor
Dewasme, Laurent
Vande Wouwer, Alain
[J]. CONTROL ENGINEERING PRACTICE, 2024, 150
[32] Fuzzy model-based predictive control using an ARX structure with feedforward
Mahfouf, M
Kandiah, S
Linkens, DA
[J]. FUZZY SETS AND SYSTEMS, 2002, 125 (01) : 39 - 59
[33] Visual Servoing of Robot Manipulators Using Model-based Predictive Control
Lazar, C.
Burlacu, A.
[J]. 2009 7TH IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS, VOLS 1 AND 2, 2009, : 690 - 695
[34] Model-based predictive control for bicycling in urban intersections
Portilla, C.
Valencia, F.
Espinosa, J.
Nunez, A.
De Schutter, B.
[J]. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2016, 70 : 27 - 41
[35] A nonlinear regression model-based predictive control algorithm
Dubay, R.
Abu-Ayyad, M.
Hernandez, J. M.
[J]. ISA TRANSACTIONS, 2009, 48 (02) : 180 - 189
[36] Model-based predictive anti-jerk control
Baumann, J
Torkzadeh, DD
Ramstein, A
Kiencke, U
Schlegl, T
[J]. CONTROL ENGINEERING PRACTICE, 2006, 14 (03) : 259 - 266
[37] MODEL-BASED PREDICTIVE CONTROL - WHO SELLS WHAT
RICHALET, J
[J]. CONTROL ENGINEERING, 1993, 40 (06) : 122 - &
[38] Fuzzy model-based predictive control by instantaneous linearization
Abonyi, J
Nagy, L
Szeifert, F
[J]. FUZZY SETS AND SYSTEMS, 2001, 120 (01) : 109 - 122
[39] Adaptive neural model-based decentralized predictive control
Wang, DH
Soh, CB
[J]. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2000, 31 (01) : 119 - 130
[40] Lifted Bilinear Model-based Linear Model Predictive Control with Scalability
Kanai, Masaki
Yamakita, Masaki
[J]. IFAC PAPERSONLINE, 2023, 56 (02): : 9405 - 9410

← 1 2 3 4 5 →