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

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Authors

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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.