Design optimization on the drive train of a light-weight robotic arm

Lelai Zhou, Shaoping Bai, Michael Rygaard Hansen

Research output: Contribution to journalJournal articleResearchpeer-review

50 Citations (Scopus)

Abstract

A drive train optimization method for design of light-weight robots is proposed. Optimal selections of motors and gearboxes from a limited catalog of commercially available components are done simultaneously for all joints of a robotic arm. Characteristics of the motor and gearbox, including gear ratio, gear inertia, motor inertia, and gear efficiency, are considered in the drive train modeling. A co-simulation method is developed for dynamic simulation of the arm. A design example is included to demonstrate the proposed design optimization method.
Original languageEnglish
JournalMechatronics
Volume21
Issue number3
Pages (from-to)560-569
Number of pages10
ISSN0957-4158
DOIs
Publication statusPublished - Apr 2011

Keywords

  • Drive train optimization
  • Discrete design variables
  • Light-weight robot
  • Complex method

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