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Blesa J.,Polytechnic University of Catalonia | Puig V.,Polytechnic University of Catalonia | Puig V.,Iri Institute Of Robotica I Informatica Industrial Csic Upc | Saludes J.,Polytechnic University of Catalonia
Journal of Process Control | Year: 2012

We present a robust fault diagnosis method for uncertain multiple input-multiple output (MIMO) linear parameter varying (LPV) parity equations. The fault detection methodology is based on checking whether measurements are inside the prediction bounds provided by the uncertain MIMO LPV parity equations. The proposed approach takes into account existing couplings between the different measured outputs. Modelling and prediction uncertainty bounds are computed using zonotopes. Also proposed is an identification algorithm that estimates model parameters and their uncertainty such that all measured data free of faults will be inside the predicted bounds. The fault isolation and estimation algorithm is based on the use of residual fault sensitivity. Finally, two case studies (one based on a water distribution network and the other on a four-tank system) illustrate the effectiveness of the proposed approach. © 2012 Elsevier Ltd.


Perez R.,Polytechnic University of Catalonia | Puig V.,Polytechnic University of Catalonia | Puig V.,Iri Institute Of Robotica I Informatica Industrial Csic Upc | Pascual J.,Polytechnic University of Catalonia | And 3 more authors.
Control Engineering Practice | Year: 2011

Leaks are present to some extent in all water-distribution systems. This paper proposes a leakage localisation method based on the pressure measurements and pressure sensitivity analysis of nodes in a network. The sensitivity analysis using analytical tools is not a trivial job in a real network because of the huge non-explicit non-linear systems of equations that describe its dynamics. Simulations of the network in the presence and the absence of leakage may provide an approximation of this sensitivity. This matrix is binarised using a threshold independent of the node. The binary matrix is assumed as a signature matrix for leakages. However, there is a trade-off between the resolution of the leakage isolation procedure and the number of available pressure sensors. In order to maximise the isolability with a reasonable number of sensors, an optimal sensor placement methodology, based on genetic algorithms, is also proposed. These methodologies have been applied to the Barcelona Network using PICCOLO simulator. The sensor placement and the leakage detection and localisation methodologies are applied to several district management areas (DMA) in simulation and in reality. © 2011 Elsevier Ltd.


Pascual J.,Polytechnic University of Catalonia | Romera J.,Polytechnic University of Catalonia | Puig V.,Polytechnic University of Catalonia | Puig V.,Iri Institute Of Robotica I Informatica Industrial Csic Upc | And 4 more authors.
Control Engineering Practice | Year: 2013

This paper describes the application of model-based predictive control (MPC) techniques to the supervisory flow management in large-scale drinking water networks including a telemetry/telecontrol system. MPC is used to generate flow control strategies (set-points for the regulatory controllers) from the sources to the consumer areas to meet future demands, optimizing performance indexes associated to operational goals such as economic cost, safety storage volumes in the network and smoothness of the flow control actions. The designed management strategies are applied to a model of a real case study: the drinking water transport network of Barcelona (Spain). © 2013 Elsevier Ltd.

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