Real-Time Implementation of Model Predictive Control on Maricopa-Stanfield Irrigation and Drainage District’s WM Canal
- 1 November 2010
- journal article
- Published by American Society of Civil Engineers (ASCE) in Journal of Irrigation and Drainage Engineering
- Vol. 136 (11), 747-756
- https://doi.org/10.1061/(asce)ir.1943-4774.0000256
Abstract
Water resources are limited in many agricultural areas. One method to improve the effective use of water is to improve delivery service from irrigation canals. This can be done by applying automatic control methods that control the gates in an irrigation canal. The model predictive control (MPC) is one such advanced control method. In this article, the MPC is used to deliver irrigation water to the WM Canal at the Maricopa-Stanfield Irrigation and Drainage District. The tests show that the water is efficiently delivered to the users and water level deviations at all locations are small. The control is compared to the results from an advanced Linear Quadratic Regulator control method, also tested on the actual canal.Keywords
This publication has 20 references indexed in Scilit:
- Downstream-Water-Level Control Test Results on the WM Lateral CanalJournal of Irrigation and Drainage Engineering, 2010
- Application of Software for Automatic Canal Management (SacMan) to the WM Lateral CanalJournal of Irrigation and Drainage Engineering, 2010
- Volume Compensation Method for Routing Irrigation Canal Demand ChangesJournal of Irrigation and Drainage Engineering, 2005
- Simulation of Automatic Canal Control SystemsJournal of Irrigation and Drainage Engineering, 2005
- Simple Optimal Downstream Feedback Canal Controllers: TheoryJournal of Irrigation and Drainage Engineering, 2004
- General Characteristics of Solutions to the Open-Channel Flow, Feedforward Control ProblemJournal of Irrigation and Drainage Engineering, 2003
- Predictive control of a portion of ASCE canal 2Published by Institute of Electrical and Electronics Engineers (IEEE) ,1999
- Model Predictive ControlPublished by Springer Science and Business Media LLC ,1999
- Test Cases for Canal Control AlgorithmsJournal of Irrigation and Drainage Engineering, 1998
- Optimal Nonlinear Predictive Control for Canal OperationsJournal of Irrigation and Drainage Engineering, 1997