In this article, an angle distance guidance law (ADGL) is developed for the unmanned aerial vehicle (UAV) tracking marine target. Specifically, mathematical modeling of the problem is first developed. Keeping desired distance between UAV and target can be satisfied as long as the UAV changes flying direction. The proposed ADGL corrects the angular rate to achieve tracking target. By the Lyapunov stability theory, we proof that the method can guarantee the UAV converging to desired distance. Furthermore, we construct a Lyapunov phase function to achieve equal phase distribution for multi-UAV which can assign appropriate tracking positions to each UAV. After UAV can use ADGL to arrive the desired position which multi-UAV can form a circular surround and track over the target. Finally, we conduct experiments on single UAV tracking target and multi-UAV tracking target. And numerical simulations in different scenarios with a realistic UAV model proof the effectiveness and robustness of the guidance law.

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Angle Distance Guidance Law for UAV Tracking Marine Target

  • Dechuan Wang,
  • Peng Yao,
  • Chen Zhong,
  • Zhicheng Gao,
  • Meiyu Han

摘要

In this article, an angle distance guidance law (ADGL) is developed for the unmanned aerial vehicle (UAV) tracking marine target. Specifically, mathematical modeling of the problem is first developed. Keeping desired distance between UAV and target can be satisfied as long as the UAV changes flying direction. The proposed ADGL corrects the angular rate to achieve tracking target. By the Lyapunov stability theory, we proof that the method can guarantee the UAV converging to desired distance. Furthermore, we construct a Lyapunov phase function to achieve equal phase distribution for multi-UAV which can assign appropriate tracking positions to each UAV. After UAV can use ADGL to arrive the desired position which multi-UAV can form a circular surround and track over the target. Finally, we conduct experiments on single UAV tracking target and multi-UAV tracking target. And numerical simulations in different scenarios with a realistic UAV model proof the effectiveness and robustness of the guidance law.