Theoretical design and control analysis of reconfigurable parllel kinematic machine tools

Dan Zhang, Zhuming Bi, Yunjian Ge

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

1 Citation (Scopus)

Abstract

This paper introduces the theoretical design and control of reconfigurable parallel kinematic machine tools. First, the general concept of reconfigurable parallel kinematic machine (RPKM) and its growing demand are introduced. Second, the design of reconfigurable parallel kinematic machines is discussed and the geometric modeling of such structures is presented and explained. The potential applications of this type of machine are described. Finally, a case study for one of the proposed structures is conducted, including kinematic/dynamic modeling and control, some results and simulation are demonstrated.

Original languageEnglish
Title of host publication2007 Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC2007
Pages229-236
Number of pages8
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event33rd Design Automation Conference, presented at - 2007 ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE2007 - Las Vegas, NV, United States
Duration: 4 Sept 20077 Sept 2007

Publication series

Name2007 Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC2007
Volume6 PART A

Conference

Conference33rd Design Automation Conference, presented at - 2007 ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE2007
Country/TerritoryUnited States
CityLas Vegas, NV
Period4/09/077/09/07

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Mechanical Engineering
  • Modelling and Simulation

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