Motion Simulation of Transport Aircraft in Extended Envelopes: Test Pilot Assessment

The European research project SUPRA (“Simulation of Upset Recovery in Aviation”) produced an extended aerodynamic model for simulation of a generic transport aircraft, capturing the key aircraft behavior beyond aerodynamic stall. As described in the current paper, a group of 11 test pilots with in-flight experience in stall conditions assessed the validity of this aerodynamic model, in combination with new motion cueing solutions in a conventional hexapod platform as well as a centrifuge-based device. Results showed that the SUPRA model was considered representative outside the normal flight envelope, and on both simulators the enhanced cueing solutions received higher subjective ratings than the comparison condition. The pilots unanimously rejected exercising these conditions without motion. It is concluded that the SUPRA model successfully demonstrates upset conditions, including stall, and that conventional hexapod motion cueing can be improved for the purpose of upset simulation. If available, a ground-based g-device is recommended to provide g-awareness training.

[1]  L. D. Reid,et al.  Flight simulation motion-base drive algorithms: part 1. Developing and testing equations , 1985 .

[2]  William W. Chung.  A Preliminary Investigation of Achievable Motion Cueing in Ground-Based Flight Simulators for Upset Recovery Maneuvers , 2008 .

[3]  Ruud Hosman,et al.  Perception Model Analysis of Flight Simulator Motion for a Decrab Maneuver , 2007 .

[4]  Richard Newman,et al.  Airplane Upsets: Old Problem, New I ssues * , 2008 .

[5]  David R. Gingras,et al.  Aerodynamics Modeling for Upset Training , 2008 .

[6]  S. F. Schmidt,et al.  Motion drive signals for piloted flight simulators , 1970 .

[7]  John V. Foster,et al.  Dynamics Modeling and Simulation of Large Transport Airplanes in Upset Conditions , 2005 .

[8]  Heinrich H. Bülthoff,et al.  Roll rate perceptual thresholds in active and passive curve driving simulation , 2016, Simul..

[9]  Hafid Smaili,et al.  Pushing Ahead - SUPRA Airplane Model for Upset Recovery , 2012 .

[10]  L. E. Zaichik,et al.  SOME ASPECTS OF MOVING-BASE SIMULATION OF UPSET RECOVERING MANEUVER , 2012 .

[11]  Joris Field,et al.  Developing Scenarios for Research into Upset Recovery Simulation , 2010 .

[12]  Raphael Sivan,et al.  An Optimal Control Approach to the Design of Moving Flight Simulators , 1982, IEEE Transactions on Systems, Man, and Cybernetics.

[13]  Dora E Angelaki,et al.  Canal-otolith interactions and detection thresholds of linear and angular components during curved-path self-motion. , 2010, Journal of neurophysiology.

[14]  Ruud Hosman,et al.  Design & evaluation of spherical washout algorithm for Desdemona simulator , 2005 .

[15]  Stacey Fangfei Liu,et al.  Ground-based Simulation of Airplane Upset Using an Enhanced Flight Model , 2011 .

[16]  Hafid Smaili,et al.  New Integrated Modeling and Simulation Techniques for Research and Training Applications , 2005 .

[17]  Meyer Nahon,et al.  FLIGHT SIMULATION MOTION-BASE DRIVE ALGORITHMS.: PART 2, SELECTING THE SYSTEM PARAMETERS , 1986 .

[18]  Joris Field,et al.  Developing Upset Cueing for Conventional Flight Simulators , 2012 .

[19]  R. L. Bowles,et al.  Coordinated adaptive washout for motion simulators , 1973 .

[20]  Scott Glaser,et al.  Effectiveness of Sustained G Simulation in Loss of Control and Upset Recovery Training , 2010 .

[21]  Nadia Maïzi,et al.  Model-based predictive motion cueing strategy for vehicle driving simulators , 2009 .

[22]  Hafid Smaili,et al.  Some Aspects of Upset Recovering Simulation On Hexapod Simulators , 2012 .

[23]  Frank M. Cardullo,et al.  Motion Cueing Algorithm Development: Human-Centered Linear and Nonlinear Approaches , 2005 .

[24]  Fred H. Previc,et al.  Spatial Disorientation in Aviation , 2004 .

[25]  F. Guedry,et al.  Coriolis cross-coupling effects: disorienting and nauseogenic or not? , 1978, Aviation, space, and environmental medicine.

[26]  Mikhail Goman,et al.  Aerodynamic model development and simulation of airliner spin for upset recovery , 2013 .

[27]  Fangfei Liu,et al.  Ground-Based Simulation of Airplane Upset Recovery Using an Enhanced Aircraft Model , 2010 .

[28]  W. D. Ledegang,et al.  Pilot performance in centrifuge-based simulation of unusual attitude recovery , 2012 .