Gas Pipelines LPV Modelling and Identification for Leakage Detection

Author(s)

Jose A. Ramos, Nova Southeastern UniversityFollow
Paulo Lopes dos Santos
Teresa Paula Azevedo Perdicoulis
Gerhard Jank
Jorge L. Martins de Carvalho
J. Milhinhos

Document Type

Article

Publication Title

American Control Conference

Event Date/Location

Baltimore, MD

ISSN

0743-1619

Publication Date

2010

Abstract

A new approach to gas leakage detection in high pressure distribution networks is proposed, where the pipeline is modelled as a Linear Parameter Varying (LPV) System driven by the source node mass flow with the pressure as the scheduling parameter, and the system output as the mass flow at the offtake. Using a recently proposed successive approximations LPV system subspace identification algorithm, the pipeline is thus identified from operational data. The leak is detected using a Kalman filter where the fault is treated as an augmented state. The effectiveness of this method is illustrated with an example with a mixture of real and simulated data.

DOI

10.1109/ACC.2010.5531022

First Page

1211

Last Page

1216

NSUWorks Citation

Ramos, Jose A.; Lopes dos Santos, Paulo; Azevedo Perdicoulis, Teresa Paula; Jank, Gerhard; Martins de Carvalho, Jorge L.; and Milhinhos, J., "Gas Pipelines LPV Modelling and Identification for Leakage Detection" (2010). CCE Faculty Articles. 401.
https://nsuworks.nova.edu/gscis_facarticles/401