• DocumentCode
    723836
  • Title

    Mission planning for electromagnetism environment monitors satellite based on heuristic tabu search algorithm

  • Author

    Zhenhai Lin

  • Author_Institution
    Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    5698
  • Lastpage
    5702
  • Abstract
    The electromagnetism environment monitors satellite (EEMS) is a kind of earth observing satellite. EEMS is an important means to gain electronic intelligence of space, and has a special effect on prompt command. The problem of mission planning for EEMS is a serious problem involving a lot of complex constraints. Based on analyzing the principle of EEMS, this paper puts forward the essential hypotheses of the problem and gives a basic pretreatment method firstly, and then establishes the constraints satisfaction problem (CSP) models for the problem. Secondly, a heuristic tabu search algorithm(HTS) is designed for the mission planning for EEMS. At last, the paper utilizes HTS and dynamic programming method to solve the problems with different scales respectively. The results show that the problem of mission planning for EEMS can be solved effectively with this method.
  • Keywords
    artificial satellites; constraint satisfaction problems; dynamic programming; path planning; search problems; CSP; EEMS mission planning; HTS; constraint satisfaction problem; dynamic programming method; earth observing satellite; electromagnetism environment monitors satellite; electronic intelligence; heuristic tabu search algorithm; Data communication; Heuristic algorithms; Monitoring; Orbits; Planning; Satellites; Search problems; Constraints satisfaction problem models; Dynamic programming method; Electromagnetism environment monitors satellite; Heuristic tabu search algorithm; Mission planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7161819
  • Filename
    7161819