Validating uncertain aircraft simulation models using flight test data

Andrei Dorobantu, Peter J Seiler Jr, Gary J. Balas

Research output: Contribution to conferencePaperpeer-review

4 Scopus citations

Abstract

Reliability validation of safety-critical flight control systems requires accurate simulation models of the aircraft dynamics. This paper proposes a simple approach to validate such models efficiently based on flight data. A statistical model validation analysis is shown to be equivalent to a robust control analysis for simple linear systems. The analysis is extended to nonlinear systems in conjunction with Monte Carlo simulations to validate an uncertain aircraft simulation model. This approach is demonstrated using the University of Minnesota Unmanned Aerial Vehicle flight test platform.

Original languageEnglish (US)
StatePublished - Sep 16 2013
EventAIAA Atmospheric Flight Mechanics (AFM) Conference - Boston, MA, United States
Duration: Aug 19 2013Aug 22 2013

Other

OtherAIAA Atmospheric Flight Mechanics (AFM) Conference
CountryUnited States
CityBoston, MA
Period8/19/138/22/13

Fingerprint Dive into the research topics of 'Validating uncertain aircraft simulation models using flight test data'. Together they form a unique fingerprint.

Cite this