On-orbit Service Mission Planning for Satellites Based on Improved Differential Evolution Algorithm

Abstract

To solve the on-orbit service mission planning problem for satellites under multiple constraints, an improved differential evolution algorithm is proposed. Firstly, the mathematical model of on-orbit service mission planning is established by taking energy consumption and time as the objective function, at the same time, taking the service requirements of target satellites into account. Then, in order to overcome the defect that the differential evolution algorithm is easy to fall into local optimization, an improved multi-strategy coevolutionary differential evolution algorithm is presented. Finally, through comparative analysis of simulation results, it shows that this method can effectively give a reasonable planning result.