Computation of global trajectories of commercial transport aircraft

A trajectory computation tool designed to compute global trajectories (from take off to landing) of commercial transport aircraft is presented. The global trajectory is defined by a general flight intent, considering flight segments usually flown by transport aircraft, including standard airline procedures, and air traffic control regulations. The computation is based on a trajectory computation solver designed for a general aircraft performance model (general drag polar and general engine model); the formulation takes into account wind effects and temperature corrections for a non-standard atmosphere. In the computation of the global trajectory, the top-of-descent point is determined iteratively, using the actual aircraft weight computed along the flight. Global properties such as total fuel consumption and flight time are computed; the influence of the actual take-off weight is analysed, as well as the effects of wind and non-standard temperatures. The computation tool provides a quantitative evaluation of these effects. Results are presented for a medium-range global trajectory and a model of a typical twin-engine, wide-body and, transport aircraft.

[1]  Heinz Erzberger,et al.  FIXED-RANGE OPTIMUM TRAJECTORIES FOR SHORT-HAUL AIRCRAFT , 1976 .

[2]  Mario Asselin,et al.  An Introduction to Aircraft Performance , 1997 .

[3]  E. Gallo,et al.  Trajectory computation Infrastructure based on BADA Aircraft Performance Model , 2007, 2007 IEEE/AIAA 26th Digital Avionics Systems Conference.

[4]  Aydan Cavcar,et al.  Approximate solutions of range for constant altitude: constant high subsonic speed flight of transport aircraft , 2004 .

[5]  Richard Coppenbarger.  En route climb trajectory prediction enhancement using airline flight-planning information , 1999 .

[6]  Richard A. Coppenbarger,et al.  Design and Development of the En Route Descent Advisor (EDA) for Conflict-Free Arrival Metering , 2004 .

[7]  Steven M. Green,et al.  AIRBORNE FOUR-DIMENSIONAL FLIGHT MANAGEMENT IN A TIME-BASED AIR TRAFFIC CONTROL ENVIRONMENT , 1991 .

[8]  Yiyuan Zhao,et al.  Sensitivity of Trajectory Prediction in Air Traffic Management , 1999 .

[9]  D. H. Williams,et al.  Flight evaluation of the CTAS descent advisor trajectory prediction , 1995, Proceedings of 1995 American Control Conference - ACC'95.

[10]  Linda R. Petzold,et al.  Numerical solution of initial-value problems in differential-algebraic equations , 1996, Classics in applied mathematics.

[11]  Egbert Torenbeek.  Cruise performance and range prediction reconsidered , 1997 .

[12]  J L Stollery.  Flight Mechanics of High Performance Aircraft , 1997 .

[13]  Robert F. Stengel,et al.  Optimal nonlinear estimation for aircraft flight control in wind shear , 1996, Autom..

[14]  M. V. Cook.  The Equations of Motion , 2007 .

[15]  Yiyuan Zhao,et al.  Trajectory Synthesis for Air Traffic Automation , 1997 .

[16]  F.A. Navarro,et al.  The Aircraft Intent Description Language: A key enabler for air-ground synchronization in Trajectory-Based Operations , 2007, 2007 IEEE/AIAA 26th Digital Avionics Systems Conference.