原文传递
Adaptive Trajectory Prediction Algorithm for Climbing Flights.
| 题名： | Adaptive Trajectory Prediction Algorithm for Climbing Flights. |
| 作者： | Erzberger, H.; Schultz, C. A.; Thipphavong, D. P. |
| 关键词： | Accuracy; Adaptive Control; Airspace; Algorithms; Climbing Flight; Mathematical Models; Root-mean-square Errors; Simulation; Structural Weight; Trajectories |
| 摘要： | Aircraft climb trajectories are difficult to predict, and large errors in these predictions reduce the potential operational benefits of some advanced features for NextGen. The algorithm described in this paper improves climb trajectory prediction accuracy by adjusting trajectory predictions based on observed track data. It utilizes rate-of-climb and airspeed measurements derived from position data to dynamically adjust the aircraft weight modeled for trajectory predictions. In simulations with weight uncertainty, the algorithm is able to adapt to within 3 percent of the actual gross weight within two minutes of the initial adaptation. The root-mean-square of altitude errors for five-minute predictions was reduced by 73 percent. Conflict detection performance also improved, with a 15 percent reduction in missed alerts and a 10 percent reduction in false alerts. In a simulation with climb speed capture intent and weight uncertainty, the algorithm improved climb trajectory prediction accuracy by up to 30 percent and conflict detection performance, reducing missed and false alerts by up to 10 percent. |
| 报告类型： | 科技报告 |
相关文献
- Adaptive Trajectory Prediction Algorithm for Climbing Flights
- Separation at Crossing Waypoints Under Wind Uncertainty in Urban Air Mobility.
- Descent Advisor Preliminary Field Test
- A Near-Term Concept for Trajectory Based Operations with Air/Ground Data Link Communication
- Machine Learning Approach to Predict Aircraft Landing Times using Mediated Predictions from Existing Systems.
- Scheduling Algorithm Compatible with a Distributed Management of Arrivals in the National Airspace System.
检索历史
应用推荐
