Research of multi-space station path planning using Hopfield neural network based on ant colony system

As each carrying fuel of space robot is limited,it is very important to improve the efficiency of space robot and extension of its in-orbit life.This paper analyzed multi space station path planning problem.To improve the easier occurring of stagnation behavior,used Hopfield neural network based on ant system in multi-station path planning problem.Simulation result shows that in contrast with conventional Hopfield neural network,convergence rate of this algorithm is faster than Hopfield neural network and can obtain good path.The algorithm will help to solve the path planning of multi space station.