• DocumentCode
    130178
  • Title

    Joint torque optimization method for space manipulator

  • Author

    Yang Yang ; Xiaoyu Shang ; Hui Li

  • Author_Institution
    Sch. of Mechatron. Eng., Beijing Inst. of Technol., Beijing, China
  • fYear
    2014
  • fDate
    28-30 July 2014
  • Firstpage
    1233
  • Lastpage
    1238
  • Abstract
    Space manipulator is an integral part of space station in its life stages including construction, operation and development, during which there are tasks for the manipulator as manipulating light camera and also assembling cabins of weight. Workload range is so wide that optimization is necessary to be considered to improve execution performance on all load conditions. Firstly, this paper details least maximum strategy to optimize each joint´s torque, and in reverse can effectively improve the whole manipulator´s carrying capability. Further, with the problem of relative poor performance under heavy load to trace the established trajectory, feedforward compensation structure is employed at the level of centralized control to help. Finally experiment as process simulation of space docking is conducted to verify such methods, with “Matlab & ADAMS” platform. The experiment results indicate that the optimization method can effectively improve the load capacity.
  • Keywords
    aerospace robotics; assembling; compensation; feedforward; manipulators; Matlab & ADAMS platform; assembling cabins; centralized control; execution performance improvement; feedforward compensation structure; joint torque optimization method; light camera manipulation; load capacity; process simulation; space manipulator; space station; workload range; Aerospace electronics; Joints; Manipulator dynamics; Mathematical model; Optimization; Torque; Space Manipulator; dynamic compensation; least maximum strategy; redundant DOF; space docking simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation (ICIA), 2014 IEEE International Conference on
  • Conference_Location
    Hailar
  • Type

    conf

  • DOI
    10.1109/ICInfA.2014.6932837
  • Filename
    6932837