Tactical Trajectory Planning for Stealth Unmanned Aerial Vehicle to Win the Radar Game

  • Hongfu Liu National University of Defense Technology, Changsha
  • Shaofei Chen National University of Defense Technology, Changsha
  • Lincheng Shen National University of Defense Technology, Changsha
  • Jing Chen National University of Defense Technology, Changsha
DOI: https://doi.org/10.14429/dsj.62.2686
Keywords: radar game, stealth UAV, trajectory planning, pseudospectral method

Abstract

In this paper, problem of planning tactical trajectory for stealth unmanned aerial vehicle (UAV) to win the radar game is studied. Three principles of how to win the radar game are presented, and their utilizations for stealth UAV to evade radar tracking are analysed. The problem is formulated by integrating the model of stealth UAV, the constraints of radar detecting and the multi-objectives of the game. The pseudospectral multi-phase optimal control based trajectory planning algorithm is developed to solve the formulated problem. Pseudospectral method is employed to seek the optimal solution with satisfying convergence speed. The results of experiments show that the proposed method is feasible and effective. By following the planned trajectory with several times of switches between exposure and stealth, stealth UAV could win the radar game triumphantly.

Defence Science Journal, 2012, 62(6), pp.375-381, DOI:http://dx.doi.org/10.14429/dsj.62.2686

Author Biographies

Hongfu Liu, National University of Defense Technology, Changsha
Mr Hongfu Liu is pursuing his PhD from Laboratory of Mission Planning, College of Mechatronic Engineering and Automation, National University of Defense Technology (NUDT), China. His research interests include: Combat vehicle mission planning and intelligence control.
Shaofei Chen, National University of Defense Technology, Changsha

Mr Shaofei Chen is pursuing his PhD from Laboratory of Mission Planning, College of Mechatronic Engineering and Automation, NUDT, China. His research interests include: Combat vehicle mission planning and artificial intelligence.

Lincheng Shen, National University of Defense Technology, Changsha

Dr Lincheng Shen working as a Dean and Professor of College of Mechatronic Engineering and Automation in NUDT, China. He has published over 100 technical papers in refereed international journals and academic conferences. His research interests include : Mission planning, SAR image processing, biomimetic robotics, automation and control engineering.

Jing Chen, National University of Defense Technology, Changsha

Dr Jing Chen obtained his PhD in control science and engineering from NUDT in 1999. Presently working a Professor of College of Mechatronic Engineering and Automation in NUDT, China. His research interests include: Artificial intelligence and mission planning of aircraft.

Published
2012-11-12
How to Cite
Liu, H., Chen, S., Shen, L., & Chen, J. (2012). Tactical Trajectory Planning for Stealth Unmanned Aerial Vehicle to Win the Radar Game. Defence Science Journal, 62(6), 375-381. https://doi.org/10.14429/dsj.62.2686
Issue
Vol 62 No 6
Section
Aeronautical Systems
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