Adaptive Fault-tolerant Control of Robotic Manipulators with Given Transient and Steady-state Performance and Dynamic Uncertainties

Weizhi Lyu, Wenyuxuan Lu, Gang Xu, Di Hua Zhai*, Yuanqing Xia

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A novel adaptive fault-tolerant control for unknown robotic manipulators with actuator faults is studied in this paper to achieve given transient and steady-state performance. In order to satisfy the requirement of preset performance specifications for manipulators in engineering applications, especially the index of prescribed precision within given time, an error transformation is constructed and embedded in the backstepping analysis through Barrier Lyapunov Function(BLF). Adaptive laws and fault estimator are designed respectively to process the dynamic uncertainties and unknown failures including partial loss of effectiveness and additive fault. Finally, the boundedness of closed-loop system's signals is proved, and the verification is given by the simulations on a 2-DOF manipulator.

Original languageEnglish
Title of host publicationProceedings of the 40th Chinese Control Conference, CCC 2021
EditorsChen Peng, Jian Sun
PublisherIEEE Computer Society
Pages456-461
Number of pages6
ISBN (Electronic)9789881563804
DOIs
Publication statusPublished - 26 Jul 2021
Event40th Chinese Control Conference, CCC 2021 - Shanghai, China
Duration: 26 Jul 202128 Jul 2021

Publication series

NameChinese Control Conference, CCC
Volume2021-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference40th Chinese Control Conference, CCC 2021
Country/TerritoryChina
CityShanghai
Period26/07/2128/07/21

Keywords

  • Fault-tolerant control
  • adaptive control
  • backstepping analysis
  • robotic manipulators
  • transient and steady-state performance

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