Reference
S. Leirens,
J. M. Giraldo,
R. R. Negenborn, and B. De Schutter, "A pattern
search method for improving the operation of sewer systems,"
Proceedings of the 12th IFAC Symposium on Large Scale Systems:
Theory and Applications, Villeneuve d'Ascq, France, pp. 591-596, July
2010.
Abstract
Sewer systems are large-scale systems that collect and transport stormwater and
sanitary sewage out of urban areas. Sewer systems are mainly operated using
pumping stations and pollutants are removed from sewage by treatment plants
before water is released into the environment. When a sewer overflow occurs,
e.g., caused by a strong rainfall, sewage is discharged directly into the
environment without any treatment. An efficient use of storage capacities and
pumping stations can help to minimize the environmental pollution caused by
sewer overflows. In this paper a nonlinear predictive control approach is
presented to improve the operation of sewer systems. To deal with the nonlinear
and non-differentiable features of the prediction model used, a pattern search
method is proposed to solve the underlying optimization problem. The technique
proposed is implemented on a part of the sewer system of Bogotá,
Columbia. Simulation results illustrate the potential of the approach.
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BibTeX
@inproceedings{LeiGir:10-014,
author = {Leirens, Sylvain and Giraldo, Juan Manuel and Negenborn, Rudi
R. and De Schutter, Bart},
title = {A Pattern Search Method for Improving the Operation of Sewer
Systems},
booktitle = {Proceedings of the 12th IFAC Symposium on Large Scale Systems:
Theory and Applications},
address = {Villeneuve d'Ascq, France},
pages = {591--596},
month = jul,
year = {2010}
}