Three-dimensional modeling, estimation, and fault diagnosis of spacecraft air contaminants.

Published

Journal Article

A description is given of the design and implementation of a method to track the presence of air contaminants aboard a spacecraft using an accurate physical model and of a procedure that would raise alarms when certain tolerance levels are exceeded. Because our objective is to monitor 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 essentially consists of a convection-diffusion equation in three dimensions, solved 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 sparse nature of the state transition matrices.

Full Text

Cited Authors

  • Narayan, AP; Ramirez, WF

Published Date

  • July 1998

Published In

Volume / Issue

  • 35 / 4

Start / End Page

  • 565 - 574

PubMed ID

  • 11543186

Pubmed Central ID

  • 11543186

International Standard Serial Number (ISSN)

  • 0022-4650

Digital Object Identifier (DOI)

  • 10.2514/2.3369

Language

  • eng