Research on inflight parameter identification and icing location detection of the aircraft

Inflight Parameter Identification and Icing Location Detection of the Aircraft: The Time-Varying Case

“…Two icing encounters depicted in Figure 1 are considered, and the clean-aircraft simulation is included to investigate the false alarm or a positive icing indication for the clean case. As in [7], it was determined that moment derivatives along different axes of the aircraft provide useful information for the ice indicated ( ,…”

“…Hinf ID Algorithm. In [7] we have discussed the Hinf parameter ID framework for the time-invariant system; a state-space system in the form oḟ…”

“…Also a constant input of all the 3 control surfaces affects the aircraft state severely; it was hardly possible for the aircraft to maintain the initial steady level flight. In such senses, while the work discussed in [7] could be employed for detection of aircraft icing over short period, a long-period continual monitoring of icing status could not depend upon it.…”

“…Parameter identification technique is employed to provide inline estimates of the aircraft dynamic parameters, after which the aircraft icing location and severity could be decided. In [7], we have discussed a work on inline icing location detection of the aircraft. Baseline scenario of the work was selected as trimmed steady level flight; it was assumed that the ice has completed the accumulation on the airframe, and the aircraft dynamic parameter remains time-invariant over the maneuver period.…”

Water droplet deformation and breakup in the vicinity of the leading edge of an incoming airfoil

“…With the use of bleed hot air, fuel consumption is increasing, and maximum engine power is decreasing. Additional detailed studies focused on the influence of icing in aircraft stability, performance degradation, dynamic parameters, and stall conditions have been reported by Lampton and Valasek [55], Han and Palacios [32], Dong and Ai [20] and Campbell et al [12] respectively.…”