Integration of Model-Based Estimation Theory With an Adaptive Finite Volume Method for the Detection of a Moving Gaseous Source via a Mobile Sensor.

摘要

This research addresses theoretical and computational issues for estimation of gas concentration associated with an emitting stationary or moving source. Estimation of the concentration field provides a superior ability for detection of the gas source location, assessment of possible impacts and eventual containment. The model based concentration estimation is made possible via a sensing aerial vehicle (SAV). The theoretical component considers an abstract and finite-dimensional approximation framework that strongly couples theoretical estimation and control with advanced computational fluid dynamics methods. The gas dispersion model is based on the 2D advection diffusion equation with variable eddy diffusivities and ambient winds. The process state estimator is based on a 2D adaptive, multi grid, multi step finite volume method with upwind and flux limiting. The grid is adapted with local refinement and coarsening during the process state estimation, in order to improve accuracy and efficiency. The SAV motion dynamics is incorporated into the spatial process and its guidance is linked to the performance of the state estimator.