Intelligent trajectory planning method for small celestial body cooperative exploration

In small celestial body exploration missions, compared with the single-probe mode, the use of multiple probes can achieve higher efficiency and reliability. This paper considers the trajectory planning problem of the cooperative exploration mission of small celestial bodies and proposes an intelligent trajectory planning method. Based on a hierarchical grid decomposition of the exploration area, the CVRP problem for multi-probe cooperative exploration is established. It is then solved by using a genetic particle swarm optimization algorithm to achieve the autonomous trajectory planning. The effectiveness of the proposed method is validated through mathematical simulations.