Optimization method research of satellite attaching track planning based on genetic algorithm

In the warfare of anti-satellite, when formation micro-satellite is flying around the target satellite, in order to avoid the defensive area of micro-satellite, it is needed to find a track security track which needs less fuel. A method to find the best attacking track based on the genetic algorithm is proposed. The dynamic defensive model of the target micro-satellite is built as the environment model, using variable length encoding real numbers. Establish the comprehensive fitness function based on security, rapidity and fuel, and design the selection operator, crossover operator, mutation operator and replacement calculation method. Numerical simulations show that the proposed method can get the best attacking track, and have a faster convergence rate.