• DocumentCode
    2034943
  • Title

    Identification and decoupling control of flexure jointed hexapods

  • Author

    Chen, Yixin ; McInroy, John E.

  • Author_Institution
    Dept. of Electr. Eng., Wyoming Univ., Laramie, WY, USA
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    1936
  • Abstract
    By exploiting properties of the joint space mass-inertia matrix of flexure jointed hexapods, a decoupling method is proposed. The decoupling method, through a static input-output mapping, transforms the highly coupled 6 input 6 output dynamics into 6 independent single-input single-output (SISO) channels. Controls for these SISO channels are far simpler than their multiple-input multiple-output counterparts. Prior decoupling control algorithms imposed severe constraints on the allowable geometry, workspace, and payload. The paper derives a new algorithm which removes these constraints, thus greatly expanding the applications. Based on the new decoupling algorithm, an identification algorithm is introduced to identify the joint space mass-inertia matrix using payload accelerations and base forces. This algorithm can be used for precision payload calibration, this improving performance and removing the labor required to design the control for different payloads. The new decoupling algorithm is experimentally compared to earlier techniques. These experimental results indicate that the new approach is practical and improves performance
  • Keywords
    Jacobian matrices; identification; legged locomotion; robot dynamics; SISO channels; decoupling control; flexure jointed hexapods; highly coupled 6 input 6 output dynamics; identification algorithm; joint space mass-inertia matrix; payload accelerations; precision payload calibration; static input-output mapping; Algorithm design and analysis; Calibration; End effectors; Friction; Geometry; Joining materials; MIMO; Payloads; Solid modeling; Springs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2000. Proceedings. ICRA '00. IEEE International Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-5886-4
  • Type

    conf

  • DOI
    10.1109/ROBOT.2000.844878
  • Filename
    844878