• DocumentCode
    724202
  • Title

    UAV path planning via Legendre pseudospectral method improved by differential flatness

  • Author

    Zhang Siyu ; Yu Jianqiao ; Sun Huadong

  • Author_Institution
    Sch. of Aerosp. Eng., Beijing Inst. of Technol., Beijing, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    2580
  • Lastpage
    2584
  • Abstract
    A Legendre pseudo spectral combination algorithm introduced by the theory of differential flatness is proposed, which transforms the unmanned aerial vehicles path planning problem into an optimal control problem. The vehicles kinematics state equations are built, and the optimal control problem which uses the equations as constraints and the shortest flight time as the cost is also built. By the differential flatness, the equations of motion state can be converted, that is the control variables and constraints of the optimal control problem can be simplified by the use of flatness output. Then optimal control problem after simplified can be solved through Legendre pseudo spectral method. The proposed combination algorithm has been compared with Legendre pseudo spectral method, and the simulation by Matlab is used to verify that the algorithm can reduce approximately 60% computation time with ensuring accuracy. The result has proved the high engineering value of the proposed algorithm.
  • Keywords
    Legendre polynomials; autonomous aerial vehicles; mobile robots; optimal control; path planning; robot kinematics; Legendre pseudospectral combination algorithm; Matlab; UAV path planning problem; differential flatness; motion state equations; optimal control problem; unmanned aerial vehicle path planning problem; vehicle kinematics state equations; Decision support systems; Differential Flatness Theory; Legendre Pseudospectral Method; Optimal Control Problem; Path Planning; Unmanned aerial vehicle;
  • 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.2015.7162357
  • Filename
    7162357