Robust Tracking Control of Robot Manipulators with Actuator Faults and Joint Velocity Measurement Uncertainty

Bing Xiao, Lu Cao, Shengyuan Xu, Liang Liu

Research output: Contribution to journalArticlepeer-review

115 Scopus citations

Abstract

This article solves the safe trajectory tracking control problem of robot manipulators with actuator faults, uncertain dynamics, and external disturbance. Another key issue met in practical robot engineering, i.e., joint velocity measurement uncertainty is also investigated. A robust control framework is presented. In this approach, a novel reconstruction law is preliminarily developed to estimate velocity measurement uncertainty, while the estimation error is finite-time stable. An adaptive control law is, then, designed by using the joint position, the estimated velocity, and the reconstructed knowledge of velocity measurement uncertainty. The key advantage of this methodology is that actual joint velocity and any prior knowledge of actuator faults are not required. The effectiveness of this proposed scheme is experimentally validated on a real robot arm.

Original languageEnglish
Article number9003179
Pages (from-to)1354-1365
Number of pages12
JournalIEEE/ASME Transactions on Mechatronics
Volume25
Issue number3
DOIs
StatePublished - Jun 2020

Keywords

  • Actuator faults
  • robot manipulators
  • robust control
  • trajectory tracking
  • velocity measurement uncertainty

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