A Receding Horizon Control algorithm for adaptive management of soil moisture and chemical levels during irrigation

Yeonjeong Park; Jeff S. Shamma; Thomas C. Harmon

doi:10.1016/j.envsoft.2009.02.008

A Receding Horizon Control algorithm for adaptive management of soil moisture and chemical levels during irrigation

Yeonjeong Park^*, Jeff S. Shamma, Thomas C. Harmon

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

36 Scopus citations

Abstract

The capacity to adaptively manage irrigation and associated contaminant transport is desirable from the perspectives of water conservation, groundwater quality protection, and other concerns. This paper introduces the application of a feedback-control strategy known as Receding Horizon Control (RHC) to the problem of irrigation management. The RHC method incorporates sensor measurements, predictive models, and optimization algorithms to maintain soil moisture at certain levels or prevent contaminant propagation beyond desirable thresholds. Theoretical test cases are first presented to examine the RHC scheme performance for the control of soil moisture and nitrate levels in a soil irrigation problem. Then, soil moisture control is successfully demonstrated for a center-pivot system in Palmdale, CA where reclaimed water is used for agricultural irrigation. Real-time soil moisture, temperature, and meteorological data were streamed wirelessly to a field computer to enable autonomous execution of the RHC algorithm. The RHC scheme is demonstrated to be a viable strategy for achieving water reuse and agricultural objectives while minimizing negative impacts on environmental quality.

Original language	English (US)
Pages (from-to)	1112-1121
Number of pages	10
Journal	Environmental Modelling and Software
Volume	24
Issue number	9
DOIs	https://doi.org/10.1016/j.envsoft.2009.02.008
State	Published - Sep 2009
Externally published	Yes

Bibliographical note

Funding Information:
We gratefully acknowledge the financial support of UCLA's Center for Embedded Networked Sensing under cooperative agreement #CCR-0120778 with the National Science Foundation, and the staff support and access to the Palmdale experimental irrigation site granted by the Los Angeles County Sanitation Districts. We also thank Drs. Juyoul Kim and Steve Margulis for their MATLAB™ codes of process simulation models, and Drs. Alexander Rat'ko and Jose Saez for their assistance at the Palmdale site.

Keywords

Feedback control
Groundwater monitoring
Irrigation scheduling
Nitrate control
Real-time adaptive management
Receding Horizon Control
Reclaimed water use
Sensor network
Soil moisture control

ASJC Scopus subject areas

Software
Environmental Engineering
Ecological Modeling

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10.1016/j.envsoft.2009.02.008

Cite this

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title = "A Receding Horizon Control algorithm for adaptive management of soil moisture and chemical levels during irrigation",

abstract = "The capacity to adaptively manage irrigation and associated contaminant transport is desirable from the perspectives of water conservation, groundwater quality protection, and other concerns. This paper introduces the application of a feedback-control strategy known as Receding Horizon Control (RHC) to the problem of irrigation management. The RHC method incorporates sensor measurements, predictive models, and optimization algorithms to maintain soil moisture at certain levels or prevent contaminant propagation beyond desirable thresholds. Theoretical test cases are first presented to examine the RHC scheme performance for the control of soil moisture and nitrate levels in a soil irrigation problem. Then, soil moisture control is successfully demonstrated for a center-pivot system in Palmdale, CA where reclaimed water is used for agricultural irrigation. Real-time soil moisture, temperature, and meteorological data were streamed wirelessly to a field computer to enable autonomous execution of the RHC algorithm. The RHC scheme is demonstrated to be a viable strategy for achieving water reuse and agricultural objectives while minimizing negative impacts on environmental quality.",

keywords = "Feedback control, Groundwater monitoring, Irrigation scheduling, Nitrate control, Real-time adaptive management, Receding Horizon Control, Reclaimed water use, Sensor network, Soil moisture control",

author = "Yeonjeong Park and Shamma, {Jeff S.} and Harmon, {Thomas C.}",

note = "Funding Information: We gratefully acknowledge the financial support of UCLA's Center for Embedded Networked Sensing under cooperative agreement #CCR-0120778 with the National Science Foundation, and the staff support and access to the Palmdale experimental irrigation site granted by the Los Angeles County Sanitation Districts. We also thank Drs. Juyoul Kim and Steve Margulis for their MATLAB{\texttrademark} codes of process simulation models, and Drs. Alexander Rat'ko and Jose Saez for their assistance at the Palmdale site. ",

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N2 - The capacity to adaptively manage irrigation and associated contaminant transport is desirable from the perspectives of water conservation, groundwater quality protection, and other concerns. This paper introduces the application of a feedback-control strategy known as Receding Horizon Control (RHC) to the problem of irrigation management. The RHC method incorporates sensor measurements, predictive models, and optimization algorithms to maintain soil moisture at certain levels or prevent contaminant propagation beyond desirable thresholds. Theoretical test cases are first presented to examine the RHC scheme performance for the control of soil moisture and nitrate levels in a soil irrigation problem. Then, soil moisture control is successfully demonstrated for a center-pivot system in Palmdale, CA where reclaimed water is used for agricultural irrigation. Real-time soil moisture, temperature, and meteorological data were streamed wirelessly to a field computer to enable autonomous execution of the RHC algorithm. The RHC scheme is demonstrated to be a viable strategy for achieving water reuse and agricultural objectives while minimizing negative impacts on environmental quality.

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A Receding Horizon Control algorithm for adaptive management of soil moisture and chemical levels during irrigation

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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