H~∞ parameter identification for inflight detection of aircraft icing: the time-varying case

摘要

This paper considers inflight parameter identification of aircraft flight dynamics in the context of an ice management system. In particular, an H~∞ parameter identification algorithm is evaluated in terms of detecting an aircraft icing event using a noisy state measurement. Previous studies had addressed identification over several seconds during a maneuver, utilizing the excitation due to the maneuver and assuming a time-invariant parameter. This paper addresses identification over longer periods, where excita- tion is provided only by turbulence, and parameter variation must e considered. Simulation results demonstrate that for moderate turbulence, the time-varying H~∞ algorithm provides a timely and unambiguous icing indication.