Gas Pipelines LPV Modelling and Identification for Leakage Detection
American Control Conference
ISSN or ISBN
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.
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). CEC Faculty Articles. 401.