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Fixed-time sliding mode extended state observer-based tracking control for cable-driven parallel robots with uncertain dynamics

  • Yanqi Lu
  • , Ruiqi Xu
  • , Weiran Yao*
  • *Corresponding author for this work
  • School of Astronautics, Harbin Institute of Technology

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

Abstract

The development and applications of cable-driven parallel robots (CDPRs) are restricted due to model uncertainties and external disturbances, which decrease the positioning accuracy of CDPRs. To address this issue, an imitated active disturbance rejection controller (IADRC) is proposed in this paper. A fixed-time sliding mode extended state observer (FTSMESO) is designed to estimate the lumped uncertainties via the switching sliding mode variable. The fixed time convergence of estimation errors is guaranteed, and the convergence time is unrelated to the system’s initial state. Based on the FTSMESO, an IADRC is proposed and its robustness is analyzed. The simulations and experiments are conducted, and the results indicate that the designed FTSMESO effectively observes the lumped uncertainties and verifies the practicality and effectiveness of the IADRC.

Original languageEnglish
Title of host publicationFifth International Conference on Control, Robotics, and Intelligent System, CCRIS 2024
EditorsChenguang Yang
PublisherSPIE
ISBN (Electronic)9781510685864
DOIs
StatePublished - 2024
Externally publishedYes
Event5th International Conference on Control, Robotics, and Intelligent System, CCRIS 2024 - Macau, China
Duration: 23 Aug 202425 Aug 2024

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume13404
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference5th International Conference on Control, Robotics, and Intelligent System, CCRIS 2024
Country/TerritoryChina
CityMacau
Period23/08/2425/08/24

Keywords

  • Cable-driven parallel robots
  • extended state observer
  • fixed-time stability

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