TECHNICAL PAPERS
May 15, 2009

Application of Software for Automatic Canal Management (SacMan) to the WM Lateral Canal

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Publication: Journal of Irrigation and Drainage Engineering
Volume 136, Issue 7

Abstract

Simulation studies have demonstrated that automatic control of canals is more effective when feedforward scheduling, or routing of know demand changes, is combined with centralized, automatic, distant, downstream water level control. In practice, few canals use this approach. To help further develop and test this strategy, the writers developed SacMan, or Software for Automatic Canal Management. The software was tested on the WM lateral of the Maricopa Stanfield Irrigation and Drainage District, Stanfield, Arizona. Initial testing was done during 2002 and 2003. In 2004, SacMan was used to operate the canal nearly continuously for a period of 30 days. Tests were conducted during normal operations, during which more than 50 delivery changes to users were scheduled and implemented with SacMan. In addition, SacMan responded to unscheduled changes such as emergency shut off and power outages that reduced well flow that had been pumping into the canal. Additional “manufactured” tests were conducted to compare different control methods. This paper describes the overall SacMan control scheme and presents a summary of the tests conducted and typical results. Companion papers examine the results of these tests in more detail.

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References

Bautista, E., and Clemmens, A. J. (2005). “Volume compensation method for routing irrigation canal demand changes.” J. Irrig. Drain. Eng., 131(6), 494–503.
Clemmens, A. J., and Schuurmans, J. (2004). “Simple optimal downstream feedback canal controllers: Theory.” J. Irrig. Drain. Eng., 130(1), 26–34.
Clemmens, A. J., and Strand, R. J. (2010). “Downstream-water-level control test results on the WM lateral canal.” J. Irrig. Drain. Eng., 136(7), 460–469.
Clemmens, A. J., Strand, R. J., and Bautista, E. (2010). “Routing demand changes to users on the WM lateral canal with SacMan.” J. Irrig. Drain. Eng., 136(7), 470–478.
Clemmens, A. J., and Wahlin, B. T. (2004). “Simple optimal downstream feedback canal controllers: ASCE test case results.” J. Irrig. Drain. Eng., 130(1), 35–46.
Deltour, J. -L., and Sanfillipo, F. (1998). “Introduction of Smith predictor into dynamic regulation.” J. Irrig. Drain. Eng., 124(1), 47–52.
Malaterre, P. O., Rogers, D. C., and Schuurmans, J. (1998). “Classification of canal control algorithms.” J. Irrig. Drain. Eng., 124(1), 3–10.
MathWorks. (2003). Matlab user guide, The MathWorks, Inc., Natick, Mass.
Rogers, D. C., and Goussard, J. (1998). “Canal control algorithms currently in use.” J. Irrig. Drain. Eng., 124(1), 11–15.
van Overloop, P. -J. (2006). “Model predictive control on open water systems.” Ph.D. dissertation, Delft Univ. of Technology, Delft, The Netherlands.
Wahlin, B. T., and Clemmens, A. J. (2002). “Performance of historic downstream canal control algorithms on ASCE Test Canal I.” J. Irrig. Drain. Eng., 128(6), 365–375.

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Published In

Go to Journal of Irrigation and Drainage Engineering
Journal of Irrigation and Drainage Engineering
Volume 136Issue 7July 2010
Pages: 451 - 459

History

Received: Sep 25, 2008
Accepted: May 13, 2009
Published online: May 15, 2009
Published in print: Jul 2010

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Authors

Affiliations

A. J. Clemmens, M.ASCE [email protected]
Center Director, Water Management and Conservation Research Unit, U.S. Arid Land Agricultural Research Center, 21881 North Cardon Ln., Maricopa, AZ 85238 (corresponding author). E-mail: [email protected]
R. J. Strand [email protected]
Electrical Engineer, Water Management and Conservation Research Unit, U.S. Arid Land Agricultural Research Center, 21881 North Cardon Ln., Maricopa, AZ 85238. E-mail: [email protected]

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