Validating Uncertain Aircraft Simulation Models Using Flight Test Data

نویسندگان

  • Andrei Dorobantu
  • Peter J. Seiler
  • Gary J. Balas
چکیده

Reliability validation of safety-critical flight control systems requires accurate simulation models of aircraft. This paper proposes a simple approach to validate such models efficiently using 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.

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تاریخ انتشار 2013