TY - JOUR
T1 - A Receding Horizon Control algorithm for adaptive management of soil moisture and chemical levels during irrigation
AU - Park, Yeonjeong
AU - Shamma, Jeff S.
AU - Harmon, Thomas C.
N1 - 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.
PY - 2009/9
Y1 - 2009/9
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.
AB - 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.
KW - Feedback control
KW - Groundwater monitoring
KW - Irrigation scheduling
KW - Nitrate control
KW - Real-time adaptive management
KW - Receding Horizon Control
KW - Reclaimed water use
KW - Sensor network
KW - Soil moisture control
UR - http://www.scopus.com/inward/record.url?scp=67349257889&partnerID=8YFLogxK
U2 - 10.1016/j.envsoft.2009.02.008
DO - 10.1016/j.envsoft.2009.02.008
M3 - Article
AN - SCOPUS:67349257889
SN - 1364-8152
VL - 24
SP - 1112
EP - 1121
JO - Environmental Modelling and Software
JF - Environmental Modelling and Software
IS - 9
ER -