4D Trajectory Estimation for Air Traffic Control Automation System Based on Hybrid System Theory
Abstract
To resolve the problem of future airspace management under great traffic flow and high density condition, 4D trajectory estimation has become one of the core technologies of the next new generation air traffic control automation system. According to the flight profile and the dynamics models of different aircraft types under different flight conditions, a hybrid system model that switches the aircraft from one flight stage to another with aircraft state changing continuously in one state is constructed. Additionally, air temperature and wind speed are used to modify aircraft true airspeed as well as ground speed, and the hybrid system evolution simulation is used to estimate aircraft 4D trajectory. The case study proves that 4D trajectory estimated through hybrid system model can image the flight dynamic states of aircraft and satisfy the needs of the planned flight altitude profile.KEY WORDS
air traffic management, 4D trajectory estimation, hybrid system model, aircraft dynamic model
References
Harry, S., Richard, B., Michael L.: Next Generation Air Transportation System (NGATS) Air Traffic Management (ATM) - Airspace Project, Reference Material, NASA, 2006
Olaf, D., Thorsten, A., Cristiano, B.: SESAR D3 ATM Target Concept, EUROCONTROL,2007
Lv, X.P., General Framework of China’s New-generation Civil Aviation ATM System, China civil aviation, Vol.80, No.8, 2007, pp. 80: 24-26
Anthony, W.: Trajectory Prediction Concepts for Next Generation Air Traffic Management, 3rd USA/Europe Air Traffic Management R&D Seminar, Napoli, 2000
Yi, Q.: Concepts of US New-generation ATM System. China civil aviation, Vol.80, No.8, 2007, pp.80: 27-31.
Wu, K., Pan, W.: 4-D trajectory prediction model based on data mining, Computer Applications, Vol.27, No.11, 2007, 27(11):pp. 2637-2639
Rhonda, S., Zhao Y.Y.: Trajectory synthesis for air traffic automation, Journal of Guidance, Control and Dynamics, Vol.20, No.2, 1997, pp.232-238
Richard, A. C.: Climb trajectory prediction enhancement using airline flight planning information, Proceedings of the AIAA Guidance, Navigation, and Control Conference. AIAA, 1999
Lee, H. P., Leffer, M. F.: Development of the L-1011 four-dimensional flight management system, NASA,1984
Wu, S.F., Guo. S.F.: Synthesis of aircraft vertical flight profile based on four-dimensional guidance in terminal airspace, Acta Aeronautica ET Astronautica Sinica, Vol.14, No.5, 1993, pp. 261- 258
Wang, C., Guo. J.X., Shen. Z.P.: Prediction of 4D Trajectory Based on Basic Flight Models, Journal of southwest jiaotong university, Vol.44, No.2, 2009, pp. 295-300
Chester, G., William N. C.: Using Flight Manual Data to Derive Aero-propulsive Models for Predicting Aircraft
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).