Multi-objective optimization algorithm in mission planning of on-orbit servicing spacecraft

Abstract

On-orbit servicing (OOS) spacecrafts can provide a variety of services, so it is necessary to make reasonable mission planning between spacecrafts to improve the efficiency of collaborative works. In this paper, a multiple spacecraft mission planning based on multi-objective optimization algorithm is proposed according to the specific characteristics of mission planning in order to complete the optimization target, such as task completion time, fuel consumption, and service priorities. In this algorithm, the model of mission planning problem is established by designing decision variables and formal constraints, and Pareto optimal sets and multiple sets of solutions of that problem are the results of the improved NSGA-II. In particular, ideal solution can be chosen as necessary. From the results of two simulation examples, we can see that our method can solve the multi-spacecrafts mission planning problem under multiple constraints efficiently. It is expressive, flexible, extensible, and feasible easily.