Task Allocation for On-orbit Servicing Spacecrafts Using Discrete Particle Swarm Optimization Algorithm

Abstract

The on-orbit servicing task is very important to improve the cooperative work ratio of the on-orbit servicing spacecrafts. In order to solve multi-constrained on-orbit servicing task allocation for spacecrafts, the programming of on-orbit servicing task allocation for spacecraft in orbit was studied. By analyzing the critical index factors which contain target satellite value, servicing spacecraft loss and energy-time consumption, an on-orbit servicing spacecraft task allocation model is formulated. A discrete particle swarm optimization (DPSO) algorithm is put forward for this problem. A new code of particles and new update strategy for the position and speed of particles are applied. The simulation results indicate that the DPSO algorithm is a feasible approach and also can solve the on-orbit servicing spacecraft cooperative task allocation effectively.