Optimization of Chang'e-3 landing preparative orbit perilune based on improved genetic algorithm

Abstract

In this paper, improved genetic algorithm (GA) is used to search Chang'e-3 optimal landing preparative orbit perilune. Chang'e-3 lander as an object, the initial and final state of the lander and the kinetic equations in the lunar gravitational field are determined by reversely reasoning from the predetermined landing site in the main reduction stage. The lander motion state is non-linear and continuous, so this method takes advantage of genetic algorithms and discretized track to achieve the optimal location of perilune, with the help of Kepler's third law and the law of inertia. Simulation results show that the improved genetic algorithm has the better performance in convergence speed and can be applied to search for the global optimal location of perilune.