• DocumentCode
    1486294
  • Title

    Gain-Varying Guidance Algorithm using Differential Geometric Guidance Command

  • Author

    Li, Chaoyong ; Jing, Wuxing ; Wang, Hui ; Qi, Zhiguo

  • Author_Institution
    Harbin Inst. of Technol., Harbin, China
  • Volume
    46
  • Issue
    2
  • fYear
    2010
  • fDate
    4/1/2010 12:00:00 AM
  • Firstpage
    725
  • Lastpage
    736
  • Abstract
    A new gain-varying algorithm for the three-dimensional pure proportional navigation (PPN) guidance problem is presented using the differential geometric (DG) guidance command. To this end, classical differential geometry theory is introduced, firstly, to transform and modify the DG guidance curvature command so as to facilitate the practical implementation and to avoid singularity of the guidance command. Then, a new gain-varying guidance scheme is developed using the modified DG guidance command, as well as the principle of the PPN guidance law, the new guidance law does not need the evaluation of time-to-go information. Furthermore, the capture analysis of the PPN-type guidance law is qualitatively studied in terms of the DG formulations, and a post-launch capture condition is derived and expressed in geometric terms. Simulation results demonstrate that the proposed guidance algorithm performs better than the conventional PPN guidance law in the case of intercepting maneuvering targets.
  • Keywords
    differential geometry; missile guidance; classical differential geometry theory; differential geometric guidance command; gain-varying guidance algorithm; post-launch capture condition; pure proportional navigation guidance; pure proportional navigation-type guidance law; Acceleration; Aerospace engineering; Chaos; Computer science; Control theory; Fuzzy logic; Geometry; Kinematics; Missiles; Navigation;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9251
  • Type

    jour

  • DOI
    10.1109/TAES.2010.5461652
  • Filename
    5461652