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Multiobjective 4D Trajectory Optimization for Integrated Avionics and Air Traffic Management Systems.

Authors :
Gardi, Alessandro
Sabatini, Roberto
Kistan, Trevor
Source :
IEEE Transactions on Aerospace & Electronic Systems. Feb2019, Vol. 55 Issue 1, p170-181. 12p.
Publication Year :
2019

Abstract

Avionics and air traffic management (ATM) systems are evolving with the introduction of progressively higher levels of automation, toward attaining the ambitious operational, technical, and safety enhancements required to sustain the present growth of global air traffic. This paper presents novel 4-Dimensional Trajectory (4DT) functionalities that are being developed for integration in ATM and avionics systems to support trajectory based operations (TBO). The 4DT planning process, which is the main focus of the paper, is supported by a custom multiobjective variant of state-of-the-art optimal control algorithms, incorporating various operational, economic, and environmental factors. Capitalizing on the higher theoretical accuracy offered by optimal control algorithms compared to other methods, a key feature of the proposed approach is the introduction of a postprocessing stage to ensure that the mathematically optimal trajectories are translated into a set of standardized 4DT descriptors, which can be flown by state-of-the-art automatic flight control systems. Additionally, to support air-ground 4DT intent negotiation and validation in the TBO context, the 4DT postprocessing ensures that optimal trajectories are synthetically described by a limited number of parameters, minimizing the bandwidth requirements imposed on airborne data links. Simulation-based verification activities addressing operational efficiency improvements and computational performance in the terminal area ATM context support the viability of the proposed 4DT planning functionality for online tactical TBO. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00189251
Volume :
55
Issue :
1
Database :
Academic Search Index
Journal :
IEEE Transactions on Aerospace & Electronic Systems
Publication Type :
Academic Journal
Accession number :
134734569
Full Text :
https://doi.org/10.1109/TAES.2018.2849238