Journal of Systems Engineering and Electronics ›› 2022, Vol. 33 ›› Issue (6): 1176-1189.doi: 10.23919/JSEE.2022.000141

• SYSTEMS ENGINEERING • Previous Articles    

Survey on autonomous task scheduling technology for Earth observation satellites

Jian WU(), Yuning CHEN(), Yongming HE(), Lining XING(), Yangrui HU()   

  1. 1 College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
  • Received:2020-12-04 Online:2022-12-18 Published:2022-12-24
  • Contact: Yongming HE E-mail:1551699723@qq.com;451480978@qq.com;heyongming10@hotmail.com;xing2999@qq.com;1641241565@qq.commailto
  • About author:
    WU Jian was born in 1994. He received his M.S. degree from Hunan University of Technology in 2018. He is currently pursuing his Ph.D. degree with National University of Defense Technology. His research interests include intelligent optimization and task scheduling. E-mail: 1551699723@qq.com

    CHEN Yuning was born in 1988. He received his B.E. and M.E. degrees from National University of Defense Technology in 2010 and 2012, respectively, and Ph.D. degree in computer science from the LERIA Laboratory, University of Angers, France, in 2016. His research interests include intelligent optimization and task scheduling. E-mail: 451480978@qq.com

    HE Yongming was born in 1992. He received his M.S. degree from National University of Defense Technology in 2016. He is currently pursuing his Ph.D. degree with National University of Defense Technology. His research interests include intelligent optimization and task scheduling. E-mail: heyongming10@hotmail.com

    XING Lining was born in 1980. He received his B.S. degree in economics and science from Xi’an Jiaotong University, Xi’an, China, in 2002, and Ph.D. degree from National University of Defense Technology, Changsha, China, in 2009. He is currently a professor in National University of Defense Technology. His research interests include intelligent optimization and task scheduling. E-mail: xing2999@qq.com

    HU Yangrui was born in 1999. He is studying for his B.S. degree in system theory at the College of Systems Engineering, National University of Defense Technology. His research interest is big data engineering. E-mail: 1641241565@qq.com
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (72001212;61773120), Hunan Postgraduate Research Innovation Project (CX20210031), the Foundation for the Author of National Excellent Doctoral Dissertation of China (2014-92), and the Innovation Team of Guangdong Provincial Department of Education (2018KCXTD031).

Abstract:

How to make use of limited onboard resources for complex and heavy space tasks has attracted much attention. With the continuous improvement on satellite payload capacity and the increasing complexity of observation requirements, the importance of satellite autonomous task scheduling research has gradually increased. This article first gives the problem description and mathematical model for the satellite autonomous task scheduling and then follows the steps of “satellite autonomous task scheduling, centralized autonomous collaborative task scheduling architecture, distributed autonomous collaborative task scheduling architecture, solution algorithm". Finally, facing the complex and changeable environment situation, this article proposes the future direction of satellite autonomous task scheduling.

Key words: satellite autonomous task scheduling, centralized architecture, distributed architecture