Dynamic path planning for spacecraft rendezvous and approach based on hybrid honey badger algorithm

Abstract

In order to solve the 3D path planning of the close-range guidance phase of spacecraft in space rendezvous and approaching, and improve its optimization performance in dynamic environments, a 3D dynamic path planning method based on hybrid honey badger algorithm and cubic spline interpolation is proposed. Firstly, a hybrid honey badger algorithm is presented for dynamic path planning: the chaotic reverse learning is used to initialize the population, so as to improve the global search ability; the transfer operators are introduced in the mode transition stage to balance exploration and exploitation capabilities; the sine and cosine operators are integrated during the stage of location update to improve the quality of the optimal solution; an adaptive disturbance coefficient is introduced into the mining mode to accelerate the convergence. Secondly, the cubic spline interpolation algorithm is combined to optimize the path curve and reduce the turning angle of the curve. Finally, the comparative simulation experiments verify that the proposed method can plan a smooth path without collision. The planned path length is relatively shortest, the path turning angle and the algorithm running time are relatively smallest.