A Multi-Mode Upset Recovery Flight Control System for Large Transport Aircraft

Approaches to Automatic Stall/Spin Detection Based on Small-Scale UAV Flight Testing

“…In the past decade, NASA has lead a major research effort in Loss of Control (LOC) prevention and mitigation, by gathering and categorizing accident statistics, 14 setting guidelines for research and system requirements, 3 and providing both high angle of attack aerodynamic data and flight dynamic models, 15 spurring research in software enabled envelope protection and upset recovery. [16][17][18][19] Previous research closely related to the present work includes that of Lay (Ref.20), who developed a neural network to predict spin entry. The network used rudder, elevator and yaw rate as inputs and was trained on two sample spins.…”

Piecewise Polynomial Modeling for Control and Analysis of Aircraft Dynamics Beyond Stall

“…F ull-envelope aircraft models require extensive effort to represent the aerodynamic coefficients well in the entire region of the envelope as flight dynamics beyond stall are highly non-linear and often unstable [1,2]. With upset recovery approaches found in the literature being model-based ( [3][4][5], and references herein) there is a clear need for reliable full-envelope models of flight dynamics. NASA's Generic Transport Model (GTM) has contributed significantly to analysis and control approaches of civil and unmanned aircraft over the entire flight envelope (see, e.g., [6,7]).…”

Full-envelope, six-degrees-of-freedom trim analysis of unmanned aerial systems based on piece-wise polynomial aerodynamic coefficients

“…With their unstable and highly non-linear characterizations, LOC-I situations require extensive control effort and adequate approaches. Non-linear behaviour of aircrafts in the post-stall flight regime has been investigated analytically [3][4][5][6][7] and researchers developed control laws for upset recovery [8][9][10][11][12][13][14][15][16][17]. For the recovery approaches found in literature as well as proposed by the authors [18] are model-based, there is a need for reliable flight dynamics data.…”

“…Due to its rich and freely available data, NASA's generic transport model (GTM) is well-recognized in aerospace engineering community and widely used in literature [6,7,[14][15][16][19][20][21][22][23]. Representing a 5.5 % down-scaled, typical aerial transport vehicle, the GTM provides an unmanned aerial vehicle [24] with exhaustive, full-envelope aerodynamic data from wind-tunnel studies [25][26][27].…”