Study of deep-stall characteristics and longitudinal special phenomena of T-tail aircraft

Abstract

Deep-stall seriously threatens the safety of aircrafts; a detailed research has been carried out to make a full study on the influencing factors in avoidance of flight accidents in this paper. The Bifurcation analysis and catastrophe theory method (BACTM) is employed to analyze the deep-stall characteristics of four different configuration T-tail aircrafts with various pitching-moment curves, and some potential nonlinear motion phenomena are given using the phase plane -q α and time histories of the angle of attack. In addition, taking into account the actual flight conditions, effect of atmospheric turbulence is also investigated. The results indicate that the reversal slope of pitching-moment curves may cause the deep-tall condition. Other influencing factors include the depth, the width, the location of the reversal slope, as well as the control-effectiveness of the elevator. Moreover, atmospheric turbulence speeds up aircrafts entering the deep stall condition. The research results have some reference values for the stall recovery.

Stall Behavior Curved Planform Wing Analysis with Low Reynolds Number on Aerodynamic Performances of Wing Airfoil Eppler 562

“…Deep stalls occur on aircraft with a T-tail configuration and a rear-mounted engine. On the T-tail, the turbulent wake of the wing, engine nacelle, and fuselage covers the horizontal and vertical stabilizer so that the elevator does not function effectively, resulting in a stall [13,14].…”

Real-Time Detection of an Aircraft Deep Stall and Recovery Procedure

“…Therefore, in accordance with Goman [14], it is interesting to know as soon as possible the precursory signs of deep stall entry in order to implement a warning for this kind of untypical situation follow-up and an automatic or manual procedure to escape from this hazardous phenomenon. Recently, several works have concerned the analysis of deep stall dynamics applying bifurcation theory [15][16][17][18][19][20], others have concerned the analysis of deep stall landing for UAV [21][22][23] but none concern the real-time detection of deep stall and recovery procedure. On the other hand, due to the development of more and more autonomous aircraft, many recent works concern the loss-of-control prevention, detection and recovery [24][25][26].…”