| 摘要: |
| 敏捷成像卫星需求筹划主要解决如何判断敏捷卫星对地观测需求是否可执行以及何时执行的问题。首先，根据敏捷卫星对地观测的约束和特点，将敏捷卫星对地观测场景抽象成基于力学的理想弹簧系统，提出了常量机动时间和劲度系数的计算方法，实现模型关键参数的映射；然后，提出了一种启发式算法，利用理想弹簧系统的平衡状态时对应观测综合角度和最小的特点，通过计算系统的力平衡状态求解多个观测需求的整体最佳观测时间；最后，利用实际的观测需求，通过仿真对比验证了算法的有效性。仿真结果显示，所提算法提高了观测需求满足率和需求的优先级权重和，并且整体成像质量最优。 |
| 关键词: 敏捷对地观测卫星 需求筹划 弹簧模型 组合算法 |
| DOI： |
|
| 基金项目: |
|
| A Fast Requirements Planning Algorithm of Agile Observation Satellite |
| SONG Zhu |
| (Southwest China Institute of Electronic Technology,Chengdu 610036,China) |
| Abstract: |
| Requirements planning algorithm mainly solves the problem whether the observation requirement can be satisfied by arranging a suitable execution time.Firstly,according to the constraints and features of agile satellites,the observation scene is converted into an ideal spring system based on mechanical principle.Methods are given to calculate the values of constant attitude adjust time and elastic coefficients,thus implementing the mapping of key parameters of the system.Then,a heuristic algorithm is proposed to calculate the balanced state of the ideal spring system.Due to the characteristic that the sum of observing angles is minimized when the system is in balanced state,the heuristic algorithm arranges optimal observing time for each requirement.Finally,according to the observation requirements,the effectiveness of the algorithm is verified by simulations.Results show that the algorithm improves the success rate and improves the performance of requirements planning with the overall observing quality optimized. |
| Key words: agile Earth observation satellite requirements planning spring model hybrid algorithm |
