Agile imaging satellite task planning method for intensive observation

被引：4
|
作者：
Ma Y.-F. [1 ,2 ]
Zhao F.-Y. [1 ,2 ]
Wang X. [1 ,2 ]
Jin Z.-H. [1 ,2 ]
机构：
[1] Micro-satellite Research Center, Zhejiang University, Hangzhou
[2] Zhejiang Key Laboratory of Micro-nano Satellite Research, Zhejiang University, Hangzhou
来源：
Zhao, Fan-Yu (zfybit@zju.edu.cn) | 1600年 / Zhejiang University卷 / 55期
关键词：
Agile imaging satellite; Ind-PN; Intensive observation scenario; Reinforcement learning; Task planning problem;
D O I：
10.3785/j.issn.1008-973X.2021.06.023
中图分类号：
学科分类号：
摘要：
The agile imaging satellite task planning problem under intensive observation scenarios has the characteristics of large space and long input task sequence length. The agile imaging satellite task planning problem was modeled by considering the constraints of time windows, attitude adjustment time during task transfer, and satellite memory and power constraints. An algorithm model (Ind-PN) combining IndRNN and Pointer Networks was proposed to solve the agile imaging satellite task planning problem, and a multi-layer IndRNN structure was used as the decoder of the model. The input task sequence was selected based on Pointer Networks mechanism, and Mask vector was used to consider various constraints of the agile imaging satellite task planning problem. The algorithm model was trained by Actor Critic reinforcement learning algorithm in order to obtain the maximum observation reward rate. The experimental results show that Ind-PN algorithm converges faster and can achieve higher observation rate of reward for task planning under intensive observation scenarios. Copyright ©2021 Journal of Zhejiang University (Engineering Science). All rights reserved.
引用
收藏
页码：1215 / 1224
页数：9
相关论文
共 23 条
  • [1] XIE Ping, DU Yong-hao, YAO Feng, Et al., Literature review for autonomous scheduling technology of agile earth observation satellites, Journal of Astronautics, 40, 2, pp. 127-138, (2019)
  • [2] GUO Hao, QIU Di-shan, WU Guo-hua, Et al., Agile imaging satellite task scheduling method based on improved ant colony algorithm, System Engineering Theory and Practice, 32, 11, pp. 2533-2539, (2012)
  • [3] QIU Di-shan, GUO Hao, HE Chuan, Et al., Agile imaging satellite multi-satellite intensive task scheduling method, Acta Aeronautica ET Astronautica Sinica, 34, 4, pp. 882-889, (2013)
  • [4] SHE Y, LI S, LI Y, Et al., Slew path planning of agile-satellite antenna pointing mechanism with optimal real-time data transmission performance, Aerospace Science and Technology, 90, 7, pp. 103-114, (2019)
  • [5] DU B, LI S, SHE Y, Et al., Area targets observation mission planning of agile satellite considering the drift angle constraint, Journal of Astronomical Telescopes, Instruments and Systems, 4, 4, pp. 1-19, (2018)
  • [6] SHE Y, LI S, ZHAO Y., Onboard mission planning for agile satellite using modified mixed-integer linear programming, Aerospace Science and Technology, 72, pp. 204-216, (2017)
  • [7] DU B, LI S., A new multi-satellite autonomous mission allocation and planning method, Acta Astronautica, 163, pp. 287-298, (2019)
  • [8] GUO Hao, WU Guo-hua, QIU Di-shan, Et al., Agile imaging satellite intensive task clustering method, Systems Engineering and Electronics, 34, 5, pp. 931-935, (2012)
  • [9] ZHANG Ming, WANG Jin-dong, WEI Bo, Intensive mission imaging satellite scheduling method based on improved fireworks algorithm, Journal of Computer Applications, 9, pp. 2712-2719, (2018)
  • [10] GENG Yuan-zhuo, GUO Yan-ning, LI Chuan-jiang, Et al., Agile gaze satellite cluster and optimal observation planning, Control and Decision, 35, 3, pp. 613-621, (2020)
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