Analysis and a case study of model reference adaptive control for robotic mechanisms

Dan Zhang, Bin Wei

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

Abstract

Motion control accuracy of robotic manipulators affects the overall robotic system performance. When the end-effector grasps different payloads, the joint motion of robotic manipulators will vary depending on the different payload masses. Traditional controllers have the problem of not being able to compensate the payload variation effect. Model reference adaptive control has been proposed to address the above problem. This paper discusses the model reference adaptive control of robotic manipulators initially raised by Roberto Horowitz and its associated development by other authors. A case study for a hybrid controller, which is derived from the model reference adaptive control system, is presented. Very few recent papers can be found in the area of model reference adaptive control of robotic manipulators, and this study can provide a guideline for future research in the direction of model reference adaptive control for robotic arms.

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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