• DocumentCode
    1612636
  • Title

    UAV Flight Performance Optimization Based on Restart PRP Conjugate Gradient Method

  • Author

    Chen, Xiao ; Wang, Xinmin ; Zhou, Jian

  • Author_Institution
    Coll. of Autom., Northwestern Poly-Tech. Univ., Xi´´an, China
  • fYear
    2012
  • Firstpage
    867
  • Lastpage
    870
  • Abstract
    To solve the problem that the integral termination condition of performance index function can not be fixed and to avoid settling high dimensional two-point-boundary-value model, the energy as a new integral variable instead of time variable has been introduced into the flight trajectory optimization. The trajectory optimization model established by energy-state method was transformed to a nonlinear programming problem. Restart PRP conjugate gradient method was proposed to solve the non-quadratic objective function. Finally, simulation is carried out based on an UAV model. The results show that compared with PRP method, the restart PRP method saves fuel by 6.76%, and the flight time of optimal flight vertical profile shortens 6.71%.
  • Keywords
    aerospace control; autonomous aerial vehicles; conjugate gradient methods; optimisation; trajectory control; UAV flight performance optimization; energy state method; flight trajectory optimization; flight vertical profile; integral termination condition; integral variable; non quadratic objective function; nonlinear programming problem; performance index function; restart PRP conjugate gradient method; time variable; two point boundary value model; Engines; Fuels; Gradient methods; Mathematical model; Programming; Trajectory; UAV; energy; flight performance optimization; restart PRP conjugate gradient; vertical profile;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4673-1450-3
  • Type

    conf

  • DOI
    10.1109/ICICEE.2012.230
  • Filename
    6322519