International Journal of Aeronautical and Space Sciences

The Korean Society for Aeronautical and Space Sciences (한국항공우주학회)
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UAV Conflict Detection and Resolution Based on Geometric Approach

  • Park, Jung-Woo (Department of aerospace Engineering, Korea Advanced Institute of Science and Technology) ;
  • Oh, Hyon-Dong (Department of aerospace Engineering, Korea Advanced Institute of Science and Technology) ;
  • Tahk, Min-Jea (Department of aerospace Engineering, Korea Advanced Institute of Science and Technology)
  • Published : 2009.05.30
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Abstract

A method of conflict detection and resolution is described by using simple geometric approach. Two VAVs are dealt with and considered as point masses with constant velocity. This paper discusses en route aircraft which are assumed to be linked by real time data bases like ADS-B. With this data base, all DAVs share the information each other. Calculating PCA (Point of Closest Approach), we can evaluate the worst conflict condition between two VAVs. This paper proposes one resolution maneuvering logic, which can be called 'Vector Sharing Resolution'. In case of conflict, using miss distance vector in PCA, we can decide the directions for two VAVs to share the conflict region. With these directions, VAVs are going to maneuver cooperatively. First of all, this paper describes some '2-D' conflict scenarios and then extends to '3-D' conflict scenarios.

Keywords

References

  1. Lee C. Yang and James K. Kuchar, “Prototype Conflict Alerting System for Free Flight”, American Institute of Aeronautics and Astronautics, Inc., 1997.
  2. Wallace E. Kelly III, Rockwell Collins, Cedar Rapids, and Iowa, “Conflict Detection and Alerting for Separation Assurance Systems”, Digital Avionics Systems Conference, St. Louis, 1999.
  3. Jimmy Krozel and Mark Peters, “Strategic Conflict Detection and Resolution for Free Flight”, Seagull technology, Inc., 1997.
  4. Douglas R. Isaacson and Heinz Erzberger, “Design of A Conflict Detection Algorithm for The Center/Tracon Automation System”, NASA Ames Research Center, 1997.
  5. A.W.MERZ, “Maximum-Miss Aircraft Collision Avoidance”, Dynamics and Control, Vol. 1, pp. 25-34, 1991. https://doi.org/10.1007/BF02169422

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  2. Collision Avoidance for Cooperative UAVs with Rolling Optimization Algorithm Based on Predictive State Space vol.7, pp.4, 2017, https://doi.org/10.3390/app7040329