• DocumentCode
    716728
  • Title

    Mechanical design, modelling and control of a novel aerial manipulator

  • Author

    Nikou, Alexandros ; Gavridis, Georgios C. ; Kyriakopoulos, Kostas J.

  • Author_Institution
    Dept. of Mech. Eng., Nat. Tech. Univ. of Athens, Zografou, Greece
  • fYear
    2015
  • fDate
    26-30 May 2015
  • Firstpage
    4698
  • Lastpage
    4703
  • Abstract
    In this paper a novel aerial manipulation system is proposed. The mechanical structure of the system, the number of thrusters and their geometry will be derived from technical optimization problems. The aforementioned problems are defined by taking into consideration the desired actuation forces and torques applied to the end-effector of the system. The framework of the proposed system is designed in a CAD Package in order to evaluate the system parameter values. Following this, the kinematic and dynamic models are developed and an adaptive backstepping controller is designed aiming to control the exact position and orientation of the end-effector in the Cartesian space. Finally, the performance of the system is demonstrated through a simulation study, where a manipulation task scenario is investigated.
  • Keywords
    adaptive control; aerospace computing; autonomous aerial vehicles; control nonlinearities; control system CAD; end effectors; force control; manipulator dynamics; manipulator kinematics; mechanical engineering computing; mobile robots; position control; torque control; CAD Package; Cartesian space; actuation forces; actuation torques; adaptive backstepping controller design; aerial manipulation system; aerial manipulator control; dynamic model; end-effector; exact orientation control; exact position control; kinematic model; manipulation task scenario; mechanical design; system parameter value evaluation; technical optimization problems; thrusters; Force; Manipulator dynamics; Mathematical model; Optimization; Torque;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2015 IEEE International Conference on
  • Conference_Location
    Seattle, WA
  • Type

    conf

  • DOI
    10.1109/ICRA.2015.7139851
  • Filename
    7139851