Optimal Sensor Placement for Leak Location in Water Distribution Networks Using Genetic Algorithms

in 2nd International Conference on Control and Fault-Tolerant Systems (2013)

In this paper, a new approach for sensor placement in water distribution networks (WDN) is proposed. The sensor placement problem is formulated as an integer optimization problem. The optimization ... [more ▼]

In this paper, a new approach for sensor placement in water distribution networks (WDN) is proposed. The sensor placement problem is formulated as an integer optimization problem. The optimization criterion consists in minimizing the number of non-isolable leaks according to the isolability criteria introduced. Because of the non-linear integer and large-scale nature of the resulting optimization problem, genetic algorithms (GA) are used as solution approach. To validate the results obtained, they are compared with exhaustive search methods with higher computational cost proving that GA allow to find near-optimal solutions with less computational load. The proposed sensor placement algorithm is combined with a projection-based isolation scheme. However, the proposed methodology does not depend on the isolation method chosen by the user and it could be easily adapted to any other isolation scheme. Experiments on a real network allow to evaluate the performance of such approach. [less ▲]

Model-based Leakage Localization in Drinking Water Distribution Networks using Structured Residuals

in European Control Conference (ECC), 2013 (2013)

In this paper, a new model based approach to leakage localization in drinking water networks is proposed based on generating a set of structured residuals. The residual evaluation is based on a numerical ... [more ▼]

In this paper, a new model based approach to leakage localization in drinking water networks is proposed based on generating a set of structured residuals. The residual evaluation is based on a numerical method based on an enhanced Newton-Raphson algorithm. The proposed method is suitable for water network systems because the non-linearities of the model make impossible to derive analytical residuals. Furthermore, the computed residuals are designed so that leaks are decoupled, which improves the localization of leaks with respect to other existing methods. Finally, the Hanoi water network benchmark is used to illustrate the results of the proposed approach. [less ▲]

Efficient Optimal Sensor Placement for Model-Based FDI using an Incremental Algorithm

in Decision and Control, 2007 46th IEEE Conference on (2007)

The problem of optimal sensor placement for FDI consists in determining the set of sensors that minimizes a pre-defined cost function satisfying at the same time a pre-established set of FDI ... [more ▼]

The problem of optimal sensor placement for FDI consists in determining the set of sensors that minimizes a pre-defined cost function satisfying at the same time a pre-established set of FDI specifications for a given set of faults. Existing approaches are mainly based on formulating an optimization problem once the sets of all possible ARRs has been generated, considering all possible candidate sensors installed. However, the associated computational complexity is exponential with the number of possible sensors. The main goal of this paper is to propose an incremental algorithm for FDI sensor placement that tries to avoid the computational burden. To show the effectiveness of this approach, an application based on a fuel-cell system is proposed. [less ▲]

Fault-Tolerant Constrained MPC of PEM Fuel Cells

Scientific Conference (2006)

In this paper, fault tolerant constrained MPC control of fuel cells is presented. MPC is one of the control methodologies that can introduce more easily fault-tolerance. Here this capability is extended ... [more ▼]

In this paper, fault tolerant constrained MPC control of fuel cells is presented. MPC is one of the control methodologies that can introduce more easily fault-tolerance. Here this capability is extended using new results on explicit MPC control. Explicit MPC control allows to derive off-line the control without need of using optimization. Moreover, since it is based on parametric programming allows to introduce as additional parameters faults what allow in real-time to change controller gains without the need of recomputing the MPC controller or having a bank of pre-computed MPC controllers. Finally, the proposed approach is assessed on a known test bench PEM fuel cell. [less ▲]