Complete dynamic modelling of flexible joint robots

Yu Zhao, Cong Wang, Xiaowen Yu, Masayoshi Tomizuka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Joint flexibility is common in industrial robots that have geared joints. In order to design a precision motion controller that compensates the effects of joint elasticity, an accurate dy- namic model of flexible joint robots is required. The models that are commonly used ignore the gyroscopic interactions between the motors and links. In order to evaluate the influence of the ignored gyroscopic interaction, a complete dynamic model for flexible joint robots is derived in this paper. It is shown that when to realize high accuracy for high velocity trajectory tracking, the motor inertia is non-negligible compared to link inertia, and that the neglected interaction terms must be taken into account.

Original languageEnglish (US)
Title of host publicationAdaptive and Intelligent Systems Control; Advances in Control Design Methods; Advances in Non-Linear and Optimal Control; Advances in Robotics; Advances in Wind Energy Systems; Aerospace Applications; Aerospace Power Optimization; Assistive Robotics; Automotive 2
Subtitle of host publicationHybrid Electric Vehicles; Automotive 3: Internal Combustion Engines; Automotive Engine Control; Battery Management; Bio Engineering Applications; Biomed and Neural Systems; Connected Vehicles; Control of Robotic Systems
PublisherAmerican Society of Mechanical Engineers
ISBN (Electronic)9780791857243
DOIs
StatePublished - 2015
EventASME 2015 Dynamic Systems and Control Conference, DSCC 2015 - Columbus, United States
Duration: Oct 28 2015Oct 30 2015

Publication series

NameASME 2015 Dynamic Systems and Control Conference, DSCC 2015
Volume1

Other

OtherASME 2015 Dynamic Systems and Control Conference, DSCC 2015
Country/TerritoryUnited States
CityColumbus
Period10/28/1510/30/15

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering
  • Mechanical Engineering
  • Control and Systems Engineering

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