Discussion and analysis of main dynamic balancing methods for robotic manipulators

Dan Zhang, Bin Wei

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

1 Citation (Scopus)

Abstract

Vibration reduction in robotic manufacturing industries has been a vital issue since the last decade. Some of the vibrations are caused by a dynamic unbalanced condition. The dynamic balancing solution has become one of the most effective ways to reduce vibration and improve overall accuracy of the system. In this paper, dynamic balancing methods and the development of robotic mechanisms are reviewed and analyzed in detail. Dynamic balancing methodology is generally divided into two main categories: balancing prior to kinematic synthesis and balancing after the design process. Each of the balancing methods in the above two categories are illustrated. The advantages and disadvantages of each method are presented and compared. This paper will provide an informative guideline for future research in the direction of dynamic balancing of robotic mechanisms.

Original languageEnglish
Title of host publication12th International Conference on Multibody Systems, Nonlinear Dynamics, and Control
PublisherAmerican Society of Mechanical Engineers(ASME)
ISBN (Electronic)9780791850183
DOIs
Publication statusPublished - 2016
Externally publishedYes
EventASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2016 - Charlotte, United States
Duration: 21 Aug 201624 Aug 2016

Publication series

NameProceedings of the ASME Design Engineering Technical Conference
Volume6

Conference

ConferenceASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2016
Country/TerritoryUnited States
CityCharlotte
Period21/08/1624/08/16

ASJC Scopus subject areas

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

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