Publication
Model predictive control of combined irrigation and water supply systems: Application to the Guadiana river
Conference Article
Conference
IEEE International Conference on Networking, Sensing and Control (ICNSC)
Edition
2012
Pages
85-90
Doc link
http://dx.doi.org/10.1109/ICNSC.2012.6204896
File
Authors
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Puig Cayuela, Vicenç
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Ocampo Martínez, Carlos A.
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Romera, Juli
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Quevedo Casín, Joseba-Jokin
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Negenborn, Rudy
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Rodríguez Madroño, Pablo
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de Campos, Sergio
Projects associated
Abstract
In this paper, a methodology for the optimal management of a combined irrigation and water supply system based on model predictive control (MPC) is proposed. A control-oriented modelling methodology for this type of systems is presented as well. MPC is used to generate flow control strategies from the sources to the consumer and irrigation areas to meet future demands with appropriate flows, optimizing operational goals such as network safety volumes in dams and flow control stability in actuators (valves, gates and pumps). The case study of Guadiana river is used to exemplify and verify the proposed optimal management methodology. Results have shown the effectiveness of the proposed modelling and control methodologies.
Categories
automation, control theory, optimal control, predictive control.
Author keywords
model predictive control, irrigation systems, water systems, control-oriented modelling, real applications
Scientific reference
V. Puig, C. Ocampo-Martínez, J. Romera, J. Quevedo, R. Negenborn, P. Rodríguez and S. de Campos. Model predictive control of combined irrigation and water supply systems: Application to the Guadiana river, 2012 IEEE International Conference on Networking, Sensing and Control, 2012, Beijing, China, pp. 85-90.
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