Prediction of the Propagation of Trajectory Uncertainty for Climbing Aircraft
- 11 October 2020
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1-9
Abstract
With the aspiring development towards Trajectory-based Operations, novel tools for robust trajectory prediction are necessary. For this, the impact of uncertain input variables to the trajectory prediction must be understood to permit higher automation with increasing look-ahead times. In this study, a neural network provides input probability density functions for the aircraft mass and speed intent (multiple phases with constant calibrated air speed or Mach number). With our flight performance model, 10,000 climb phases are predicted in a Monte-Carlo simulation with a look-ahead time of 600 seconds for six different aircraft types. The resulting trajectory uncertainty is analyzed to prove that the stochastic characteristics of the input can be used to predict the arising uncertainties in future positions. Since the selected uncertainties are interdependent and time-lagged, the normality of the input vanishes in the trajectory uncertainty. However, a Beta distribution provides a good fit for up to 90% of the cases. The findings are applicable to decision support tools if the expected uncertainty shall be included.Keywords
Funding Information
- Deutsche Forschungsgemeinschaft
This publication has 18 references indexed in Scilit:
- Quantification of aircraft trajectory prediction uncertainty using polynomial chaos expansions2017
- Data-Driven Trajectory Uncertainty Quantification For Climbing Aircraft To Improve Ground-Based Trajectory PredictionAnadolu University Journal of Science and Technology-A Applied Sciences and Engineering, 2017
- Aircraft Robust Trajectory Optimization Using Nonintrusive Polynomial ChaosJournal of Aircraft, 2014
- Managing Evolving Uncertainty in Trajectory DatabasesIEEE Transactions on Knowledge and Data Engineering, 2013
- Propagation of Initial Mass Uncertainty in Aircraft Cruise FlightJournal of Guidance, Control, and Dynamics, 2013
- Adaptive Algorithm to Improve Trajectory Prediction Accuracy of Climbing AircraftJournal of Guidance, Control, and Dynamics, 2013
- Air-Traffic Uncertainty Models for Queuing Analysis2009
- Assessing Trajectory Prediction Performance – Metrics Definition2006
- En-route flight trajectory prediction for conflict avoidance and traffic management1996
- An analysis of variance test for normality (complete samples)Biometrika, 1965