Systems Engineering and Electronics ›› 2023, Vol. 45 ›› Issue (5): 1409-1419.doi: 10.12305/j.issn.1001-506X.2023.05.17

• Systems Engineering • Previous Articles    

Online three-dimensional RRT* cooperative route planning based on hierarchical decomposition

Xiaocao YANG1, Yanli DU1, Yunong BU2,*, Yanbin LIU1, Cheng GAO1   

  1. 1. College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
    2. Beijing Institute of Mechanical and Electrical Engineering, Beijing 100854, China
  • Received:2022-03-08 Online:2023-04-21 Published:2023-04-28
  • Contact: Yunong BU

Abstract:

Aiming at the time cooperative route planning problem of multiple unmanned aerial vehicles (UAVs), an online three-dimensional planning method based on hierarchical decomposition is proposed. Firstly, the high dimensional strong coupling cooperative planning problem is decomposed into a low dimensional simple optimization problem according to 3 layers. Secondly, an optimization method of cooperative index parameters based on the inverse hyperbolic tangent function is presented in order to solve the diversion consumption problem caused by excessive time intervals between UAVs. Then, an online route planning algorithm of three-dimensional rapidly-exploring random tree* based on receding horizon (TRH-RRT*) is proposed. The biased random samples are employed to increase the utilization of sampling points, the artificial potential field is exploited to guide the growth of RRT* nodes and the node removal method based on receding horizon is applied to reducing the unnecessary scanning process. Finally, the simulation results for attack mission of UAVs convergence show that the proposed method possesses advantages in planning time and planning results.

Key words: multiple unmanned aerial vehicle (UAV), cooperative route planning, rapidly exploring random tree* (RRT*), receding horizon, artificial potential field

CLC Number: 

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