Global stiffness modeling and optimization of a 5-DOF parallel mechanism

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

11 Citations (Scopus)

Abstract

Global Stiffness design and optimization of parallel mechanisms can be a difficult and time-consuming exercise in parallel robot design, especially when the variables are multifarious and the objective functions are too complex. To address this issue, optimization techniques based on kinetostatic model and genetic algorithms are investigated as the effective criteria. First, a 5-DOF parallel mechanism with a passive constraining leg and five identical legs with prismatic actuators for machine tool is proposed, and its corresponding inverse kinematics, Jacobian matrices and global velocity equation are derived. Second, with the kinetostatic model, the mean value and the standard deviation of the trace of the global compliance distribution are proposed as these two kinetostatic performance indices. Finally, the effectiveness of this optimization design methodology for global stiffness indices is validated with simulation.

Original languageEnglish
Title of host publication2009 IEEE International Conference on Mechatronics and Automation, ICMA 2009
Pages3551-3556
Number of pages6
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event2009 IEEE International Conference on Mechatronics and Automation, ICMA 2009 - Changchun, China
Duration: 9 Aug 200912 Aug 2009

Publication series

Name2009 IEEE International Conference on Mechatronics and Automation, ICMA 2009

Conference

Conference2009 IEEE International Conference on Mechatronics and Automation, ICMA 2009
Country/TerritoryChina
CityChangchun
Period9/08/0912/08/09

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Global stiffness modeling and optimization of a 5-DOF parallel mechanism'. Together they form a unique fingerprint.

Cite this