基于相对成像时刻编码遗传算法的敏捷成像卫星任务规划

Based on the relative imaging time coding method, a novel adaptive genetic algorithm (RITC-AGA) for imaging satellite task planning is proposed in this paper. Firstly, the objective function of satellite task planning is constructed by considering the observation profit of imaging point targets and the energy consumption during satellite attitude maneuver. Secondly, the optimal attitude transfer model between different targets is developed based on the linearized attitude dynamics model. Then, in order to ensure that the genetic algorithm has a complete search space for decision variables and improve the iteration efficiency, a relative imaging time encode and decode strategy is designed, which can be used in the situation of long-term operation and multiple observable time window. Finally, the effectiveness and superiority of the proposed method are verified by the comparative simulation experiments under typical task planning examples.