4D trajectory estimation for air traffic control automation system based on hybrid system theory

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.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/03535320
• Supplemental Notes:
  • Abstract reprinted with permission from the publisher.
• Authors:
  • Tang, Xin-Min
  • Han, Yun-Xiang
• Publication Date: 2012

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 91-98
• Serial:
  • PROMET-Traffic & Transportation
  • Volume: 24
  • Issue Number: 2
  • Publisher: University of Zagreb
  • ISSN: 0353-5320
  • EISSN: 1848-4069
  • Serial URL: https://traffic2.fpz.hr/index.php/PROMTT
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Air traffic control; Computer models; Dynamic models; Estimating; Hybrid simulation
• Uncontrolled Terms: Hybrid models
• Subject Areas: Aviation; Operations and Traffic Management; I73: Traffic Control;

Filing Info

• Accession Number: 01371073
• Record Type: Publication
• Files: TRIS
• Created Date: May 25 2012 9:31AM