Dynamics and control technologies in air traffic management |
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| Affiliation: | 1. Univ Lille Nord de France, F-59000 Lille, France;2. UVHC, LAMIH, F-59313 Valenciennes, France;3. CNRS, UMR 8201, F-59313 Valenciennes, France;4. Play Research Lab – CCI-Grand Hainaut, 3 avenue Sénateur Girard, BP 80577, F-59308 Valenciennes Cedex, France;1. School of Sustainable Engineering and the Built Environment, Arizona State University, USA;2. Department of Civil, Construction and Environmental Engineering, North Carolina State University, USA;3. Department of Civil and Environmental Engineering, University of Utah, USA;4. Institute for Transportation Research and Education (ITRE), Department of Civil, Construction and Environmental Engineering, North Carolina State University, USA;1. Department of Civil and Environmental Engineering, University of Alberta, Canada;2. Department of Civil and Environmental Engineering, University of California, Berkeley, United States;1. Civil Aviation College of Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China;2. The 28th Research Institute of China Electronic Technology Group Corporation, Nanjing, 210007, China |
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| Abstract: | Dynamics and Control technologies play a central role in the development and operation of decision support systems of modern air traffic management systems. Recent emergence of Global Navigation Satellite Systems and satellite-based augmentation systems have enabled higher precision execution of aircraft trajectories, opening-up the potential for the implementing more quantitative air traffic management approaches. Already, this navigation capability is enabling higher traffic through puts, and safer operation of aircraft in the proximity of the terrain at several major airports in the US. This paper discusses the aircraft trajectory optimization, conflict resolution algorithms, and traffic flow management problems which form the essential components of the evolving air traffic management system. It will be shown that Optimal Control Theory, Model Predictive Control and the Discrete Event Systems theory form the underlying analytical machinery in this domain. Finally, the paper will outline some of the algorithms for realizing the Trajectory Based Operations concept, currently being developed for future air traffic management. |
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