• DocumentCode
    1633992
  • Title

    Solving the forward kinematics of the 3RPR planar parallel manipulator using a hybrid meta-heuristic paradigm

  • Author

    Chandra, Rohitash ; Zhang, Mengjie ; Rolland, Luc

  • Author_Institution
    Sch. of Eng. & Comput. Sci., Victoria Univ. of Wellington, Wellington, New Zealand
  • fYear
    2009
  • Firstpage
    177
  • Lastpage
    182
  • Abstract
    The forward kinematic of the 3-RPR parallel manipulator is solved using a hybrid meta-heuristic technique where the simulated annealing algorithm replaces the mutation operator in a genetic algorithm. The results from the hybrid meta-heuristic approach is compared with the standard simulated annealing and genetic algorithm. The results show that the simulated annealing algorithm outperforms genetic algorithm in terms of computation time and overall accuracy of the solution. The hybrid meta-heuristic search algorithm shows better performance than the standard genetic algorithm.
  • Keywords
    genetic algorithms; manipulator kinematics; simulated annealing; 3RPR planar parallel manipulator; forward kinematics; genetic algorithm; hybrid metaheuristic paradigm; simulated annealing algorithm; Computational modeling; Energy states; Genetic algorithms; Genetic mutations; Kinematics; Manipulators; Newton method; Nonlinear equations; Simulated annealing; Temperature distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence in Robotics and Automation (CIRA), 2009 IEEE International Symposium on
  • Conference_Location
    Daejeon
  • Print_ISBN
    978-1-4244-4808-1
  • Electronic_ISBN
    978-1-4244-4809-8
  • Type

    conf

  • DOI
    10.1109/CIRA.2009.5423213
  • Filename
    5423213