Fuzzy logic control of an uncertain manipulator with full-state constraints

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4 Scopus citations

Abstract

In this paper, a fuzzy logic control strategy is proposed for solving trajectory tracking control issues of an uncertain manipulator. Fuzzy logic is utilized to compensate for manipulator dynamics uncertainties and full-state constraints are involved in full-state feedback controller design. The proposed method can guarantee error signals in closed-loop system semi-globally uniformly bounded (SGUB). In view of safe operation, tangent barrier Lyapunov functions (tBLFs) are chosen to maintain full states in a predefined constrained region in tracking processes. Finally, simulation results are carried out to show the effectiveness of our proposed control strategy.

Original languageEnglish
Title of host publicationProceedings - 2018 33rd Youth Academic Annual Conference of Chinese Association of Automation, YAC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages135-139
Number of pages5
ISBN (Electronic)9781538672556
DOIs
StatePublished - 6 Jul 2018
Event33rd Youth Academic Annual Conference of Chinese Association of Automation, YAC 2018 - Nanjing, China
Duration: 18 May 201820 May 2018

Publication series

NameProceedings - 2018 33rd Youth Academic Annual Conference of Chinese Association of Automation, YAC 2018

Conference

Conference33rd Youth Academic Annual Conference of Chinese Association of Automation, YAC 2018
Country/TerritoryChina
CityNanjing
Period18/05/1820/05/18

Keywords

  • Full-state constraints
  • Full-state feedback
  • Fuzzy logic control
  • Semi-globally uniformly bounded (SGUB)
  • Uncertain manipulator

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