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Model predictive control of combined irrigation and water supply systems: application to the Guadiana river

Author
Puig, V.; Ocampo-Martinez, C.A.; Romera, J.; Quevedo, J.; Rodriguez, P.; de Campos, S.; Negenborn, R.
Type of activity
Presentation of work at congresses
Name of edition
9th IEEE International Conference on Networking, Sensing and Control
Date of publication
2012
Presentation's date
2012-04-12
Book of congress proceedings
IEEE International Conference on Networking, Sensing and Control
First page
85
Last page
90
Repository
http://hdl.handle.net/2117/16023 Open in new window
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 controloriented 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 actuator...
Citation
Puig, V. [et al.]. Model predictive control of combined irrigation and water supply systems: application to the Guadiana river. A: IEEE International Conference on Networking, Sensing and Control. "IEEE International Conference on Networking, Sensing and Control". Beijing: 2012, p. 85-90.
Group of research
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems
SIC - Smart Control Systems

Participants