• DocumentCode
    2257476
  • Title

    In-flight aid alignment with multi-population genetic algorithm in the Arctic

  • Author

    Jing, Li ; Ningfang, Song ; Gongliu, Yang ; Yuanyuan, Liu ; Jing, Wang

  • Author_Institution
    School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing 100191
  • fYear
    2015
  • fDate
    28-30 July 2015
  • Firstpage
    5047
  • Lastpage
    5051
  • Abstract
    Because of the limitations of the inertial navigation system, high accuracy navigation is a challenge for planes in the Arctic. One of the biggest problems is the initial alignment. Against the special conditions (high latitude and longitude astringe etc.) in the Arctic, new inertial navigation system mechanization equations are established, and a novel in-fight aid alignment scheme is proposed in this paper. The scheme applies Multi-Population Genetic Algorithm (MGA) for solving the nonlinear equations in inertial system. The simulation contains coarse alignment with MGA, inertial navigation after coarse alignment and fine alignment aiding with GPS. The simulation results show that the scheme is suitable for initial alignment and navigation in the Arctic.
  • Keywords
    Arctic; Genetic algorithms; Global Positioning System; Mathematical model; Sociology; Statistics; Arctic; Genetic Algorithm; In-flight aid alignment; Inertial navigation system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2015 34th Chinese
  • Conference_Location
    Hangzhou, China
  • Type

    conf

  • DOI
    10.1109/ChiCC.2015.7260425
  • Filename
    7260425