A Dynamic Data Driven Approach to Online Flight Envelope Updating for Self Aware Aerospace Vehicles Conference Paper uri icon

abstract

  • A self-aware aerospace vehicle can dynamically adapt the way it performs missions by gathering information about itself and its surroundings and responding intelligently. This paper presents a data-driven approach for the online updating of the ight envelope of an unmanned aerial vehicle subjected to structural degradation. In our approach, physics-based models at the panel and vehicle level run offine to generate libraries of information covering a range of damage scenarios. These libraries are queried online to estimate maximum a posteriori vehicle capability states via Bayesian classification using sensed strain data. We demonstrate our methodology on a conceptual unmanned aerial vehicle and focus on standard rate turn maneuvers.

name of conference

  • 16th AIAA Non-Deterministic Approaches Conference

published proceedings

  • 16th AIAA Non-Deterministic Approaches Conference

author list (cited authors)

  • Allaire, D. L., Lecerf, M., Willcox, K. E., & Kordonowy, D. N.

complete list of authors

  • Allaire, Douglas L||Lecerf, Marc||Willcox, Karen E||Kordonowy, David N

publication date

  • January 1, 2014 11:11 AM