• DocumentCode
    185705
  • Title

    MPC and SADE for UAV real-time path planning in 3D environment

  • Author

    Qiang Wang ; An Zhang ; Hai Yang Sun

  • Author_Institution
    Sch. of Electrons Inf., Northwestern Polytech. Univ., Xi´an, China
  • fYear
    2014
  • fDate
    18-19 Oct. 2014
  • Firstpage
    130
  • Lastpage
    133
  • Abstract
    This paper proposed a method of real-time path planning for UAV based on model predictive control and self adaptive differential evolutionary algorithm First the model of three-dimensional path planning of UAV was built by model predictive control Then the encoding method based on deflection angle was given. The constraints were combined with the self adaptive differential evolutionary algorithm to make the path more rational and the searching more efficiently. The simulation analyses showed that the method of path planning is available and efficient, that could satisfy the requirements of terrain following and threat avoidance.
  • Keywords
    adaptive control; autonomous aerial vehicles; evolutionary computation; path planning; predictive control; 3D environment; 3D path planning; MPC; SADE; UAV real-time path planning; model predictive control; self-adaptive differential evolutionary algorithm; terrain following; threat avoidance; Multi-layer neural network; UAV; model predictive control; real-time path planning; self adaptive differential evolutionary algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Security, Pattern Analysis, and Cybernetics (SPAC), 2014 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4799-5352-3
  • Type

    conf

  • DOI
    10.1109/SPAC.2014.6982672
  • Filename
    6982672