3-DIMENSIONAL MODELING, ESTIMATION, AND FAULT-DIAGNOSIS OF SPACECRAFTAIR CONTAMINANTS

A description is given of the design and implementation of a method to track the presence of air contaminants aboard a spacecraft using an a ccurate physical model and of a procedure that would raise alarms when certain tolerance levels are exceeded. Because our objective is to mo nitor the contaminants in real time, we make use of a state estimation procedure that filters measurements from a sensor system and arrives at an optimal estimate of the state of the system. The model essential ly consists of a convection-diffusion equation in three dimensions, so lved implicitly using the principle of operator splitting, and uses a flowfield obtained by the solution of the Navier-Stokes equations for the cabin geometry, assuming steady-state conditions. A novel implicit Kalman filter has been used for fault detection, a procedure that is an efficient way to track the state of the system and that uses the sp arse nature of the state transition matrices.