Singularity-free trajectory planning of platform-type parallel manipulators for minimum actuating effort and reactions

Chun Ta Chen, Hua Wei Chi

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Due to the existence of singular configurations within the workspace for a platform- type parallel manipulator (PPM), the actuating force demands increase drastically as the PPM approaches or crosses singular points. Therefore, in this report, a numerical technique is presented to plan a singularity-free trajectory of the PPM for minimum actuating effort and reactions. By using the parametric trajectory representation, the singularity-free trajectory planning problem can be cast to the determination of undetermined control points, after which a particle swarm optimization algorithm is employed to find the optimal control points. This algorithm ensures that the obtained trajectories can avoid singular points within the workspace and that the PPM has the minimum actuating effort and reactions. Simulations and discussions are presented to demonstrate the effectiveness of the algorithm.

Original languageEnglish
Pages (from-to)371-384
Number of pages14
JournalRobotica
Volume26
Issue number3
DOIs
Publication statusPublished - 2008 May 1

Keywords

  • Particle swarm optimization algorithm
  • Platform-type parallel manipulator
  • Singularity-free trajectory

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Mathematics(all)
  • Computer Science Applications

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