DocumentCode :
1751492
Title :
Leakage location in pipelines by minimal order nonlinear observer
Author :
Verde, C.
Author_Institution :
Instituto de Ingenieria, Ciudad Universitaria, Mexico
Volume :
2
fYear :
2001
fDate :
2001
Firstpage :
1733
Abstract :
Introduces a method to locate the leakage position in a pipeline estimating flows deviations with minimal order nonlinear observers when only measurements at the extremes of the duct are available, and calculating the leakage position using a set of nonlinear equations at the leak point. Taking into a account that the fluid model in the duct is given by a set of partial differential equations, a finite dimension nonlinear model of minimal order for FDI is obtained assuming that flows can be measured at the end points of the line, pressions are the control variables, and require the uniform observability condition for each of the outputs. The system properties of uniform observability and affinity in the control allows us to improve the residuals generator response previously reported in the literature by linear observers. Moreover, the residuals generator design problem is simplified, since two independent simple nonlinear estimators for flows deviations which are sensitive to any leak can be designed using either fixed or varying gain observers. For the leakage position estimation a set of three nonlinear equations must be on-line solved in which the unknowns are leak rate, its position and pressure at the leak position. The performance of the approach is demonstrated using simulated and experimental data taken from a water pilot pipeline
Keywords :
Jacobian matrices; leak detection; nonlinear systems; observers; partial differential equations; water supply; FDI; affinity; finite dimension nonlinear model; flows deviations; fluid model; leakage location; leakage position; minimal order nonlinear observer; nonlinear estimators; residuals generator response; uniform observability condition; water pipeline; Ducts; Fault detection; Fluid dynamics; Leak detection; Nonlinear equations; Observability; Pipelines; Pollution measurement; Surveillance; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2001. Proceedings of the 2001
Conference_Location :
Arlington, VA
ISSN :
0743-1619
Print_ISBN :
0-7803-6495-3
Type :
conf
DOI :
10.1109/ACC.2001.945981
Filename :
945981
Link To Document :
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