Trajectory planning of parallel kinematic manipulators for the maximum dynamic load-carrying capacity

Chun-Ta Chen, Te Tan Liao

Research output: Contribution to journalArticle

6 Citations (Scopus)


The objective of this paper is to identify the trajectory that accomplishes the assigned motion with the maximum dynamic load-carrying capacity (DLCC) which is subject to constraints imposed by the kinematics and dynamics of a manipulator structure. In this study, the possible trajectories of the manipulator are modeled using a parametric path representation, the optimal trajectory is then obtained using a two-loop of optimization process, in which the inner-loop optimization process based on the Simplex-type linear programming method is used to determine the dynamic loading at each discrete point along the presumed trajectory and then to formulate the DLCC; the outer-loop optimization process based on the particle swarm optimization algorithm is to solve the controlled points by maximizing the formulated DLCC. The numerical results confirm the feasibility of the optimized trajectories and demonstrate the effectiveness of the proposed algorithm for the maximum dynamic load-carrying trajectory planning of a parallel kinematic manipulator.

Original languageEnglish
Pages (from-to)1653-1674
Number of pages22
Issue number8
Publication statusPublished - 2016 Aug 1



  • Dynamic load-carrying capacity
  • Parallel kinematic manipulator
  • Trajectory planning
  • Two-loop of optimization

ASJC Scopus subject areas

  • Condensed Matter Physics
  • Mechanics of Materials
  • Mechanical Engineering

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