Abstract:

Considering the satellite imaging reconnaissance in case of emergency, a cooperative scheduling architecture of multi-satellites is designed by converting the multi-satellite cooperative scheduling problem into a main problem (task ranking) and a sub-problem (resource matching). This scheduling problem is considered as a constraint satisfaction problem based on analyzing various constraints and taking task benefit as optimization objectives. In addition, an improved particle swarm optimization algorithm is used to solve this problem. Meanwhile, the relevant operations such as encoding, decoding, movement and mutation are introduced, and the timing complexity is given. Through simulation experiments, the effectiveness of the proposed algorithm is sufficiently verified.