• DocumentCode
    2785956
  • Title

    A homotopy method for guided bomb´s optimal glide problem

  • Author

    Geng, Lina ; Zheng, Zhiqiang

  • Author_Institution
    Coll. of Mechatron. Eng. & Autom., Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2009
  • fDate
    17-19 June 2009
  • Firstpage
    1909
  • Lastpage
    1912
  • Abstract
    Development of feasible and precise methods for calculating guided bomb´s optimal trajectory has been a traditional and challenging task. The inherent difficulty arises from significant nonlinearity of trajectory model, limited control inputs and various constrained states. And most conventional direct and indirect methods are very sensitive to the initial guess that needs much experience. This paper presents a homotopy method to overcome initial guess problem by constructing a homotopy trajectory using maximum lift-drag ratio control. The method reaches smoothly the original optimal problem by regulating a continuation parameter. And the deriving process is described for homotopy trajectory which is easy to gain for any given initial states. Finally, the simulation results validated that the global optimization solution can be caught faster and the approach can be easily expanded in trajectory optimization.
  • Keywords
    control nonlinearities; missile guidance; optimal control; optimisation; position control; global optimization solution; guided bomb optimal glide problem; homotopy method; homotopy trajectory; maximum lift-drag ratio control; optimal trajectory; trajectory model nonlinearity; Automatic control; Automation; Costs; Educational institutions; Mathematical model; Mechatronics; Optimal control; Optimization methods; Weapons;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2009. CCDC '09. Chinese
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-2722-2
  • Electronic_ISBN
    978-1-4244-2723-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2009.5192064
  • Filename
    5192064