• DocumentCode
    2196619
  • Title

    GA-Based Multi-Objective Optimal Design of a Planar 3-DOF Cable-Driven Parallel Manipulator

  • Author

    Li, Yangmin ; Xu, Qingsong

  • Author_Institution
    Dept. of Electromech. Eng., Macau Univ., Taipa
  • fYear
    2006
  • fDate
    17-20 Dec. 2006
  • Firstpage
    1360
  • Lastpage
    1365
  • Abstract
    The architecture optimization of a three degrees of freedom (3-DOF) planar cable-driven parallel manipulator (CDPM) with multiple objectives has been implemented by means of GA approach in this paper. Firstly, the kinematics and statics issues of the CDPM are addressed, which allows the generation of the feasible workspace restricted by both the cable length limits and tension bounds. Then, the optimal designs with respect to the feasible workspace with separated considerations of dexterity and stiffness performances are carried out to obtain the architectural parameters of the manipulator. The simulation results illustrate that the separated optimizations result in reverse variation tendencies of the design parameters. In order to deal with such problem, the multi-objective optimal design for a mixed performance index is accomplished afterwards. The optimization results demonstrate the compromise effects of the proposed multi- objective function, and the results are valuable in designing a planar 3-DOF CDPM.
  • Keywords
    dexterous manipulators; genetic algorithms; manipulator kinematics; GA; dexterity; multiobjective optimal design; planar 3-DOF cable-driven parallel manipulator; stiffness; tension bounds; Algorithm design and analysis; Biomimetics; Cables; Constraint optimization; Design optimization; Heuristic algorithms; Kinematics; Parallel robots; Rehabilitation robotics; Search methods; Cable-driven parallel manipulators; Dexterity; Optimal design; Stiffness; Workspace;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Biomimetics, 2006. ROBIO '06. IEEE International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    1-4244-0570-X
  • Electronic_ISBN
    1-4244-0571-8
  • Type

    conf

  • DOI
    10.1109/ROBIO.2006.340127
  • Filename
    4142064