• DocumentCode
    233048
  • Title

    Depth control of AUV using active disturbance rejection controller

  • Author

    Tao Chen ; Wei Zhang ; Jiajia Zhou ; Haomiao Yu ; Xiaofu Liu ; Yue Hao

  • Author_Institution
    Coll. of Autom., Harbin Eng. Univ., Harbin, China
  • fYear
    2014
  • fDate
    28-30 July 2014
  • Firstpage
    7948
  • Lastpage
    7952
  • Abstract
    The intelligent motion control technology of Autonomous Underwater Vehicle (AUV) is the basis of long-distance voyage for AUV. The motion control capability in vertical plane is an important technical for AUV to complete multifarious missions. So, it is important and realistic significance to research on motion control in vertical plane of AUV. Motion control problem of AUV in vertical plane, especially depth control problems is researched based on active disturbance rejection control (ADRC) method in this paper. The kinetic and dynamic model in vertical plane of AUV is established and simplified. The active disturbance rejection controller design method is introduced. Detailed algorithms of each part for active disturbance rejection controller are discussed according to separability principle of ADRC. Based on ADRC, the depth controller is designed and applied in AUV. At last, simulation results indicate that the method is feasibility and effectiveness for AUV depth control.
  • Keywords
    autonomous underwater vehicles; mobile robots; motion control; ADRC method; AUV; active disturbance rejection control; active disturbance rejection controller; active disturbance rejection controller design method; autonomous underwater vehicle; depth control; detailed algorithms; intelligent motion control technology; long distance voyage; motion control capability; motion control problem; vertical plane; Equations; Kinetic theory; Mathematical model; Observers; Uncertainty; Vehicle dynamics; Active Disturbance Rejection Controller; Autonomous Underwater Vehicle; Depth Control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2014 33rd Chinese
  • Conference_Location
    Nanjing
  • Type

    conf

  • DOI
    10.1109/ChiCC.2014.6896328
  • Filename
    6896328