Feedback-linearization-based Model Predictive Control for Multiple-DOFs Manipulators via Logarithm Sliding Mode

  • Zhiying Lu
  • , Xiyao Liu
  • , Zhiqiang Ma
  • , Zhaoke Ning
  • , Hanlin Dong

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

Abstract

In this paper, a new control approach for two degrees of freedom manipulators is proposed by combining the classical model predictive control scheme with a lgarithm sliding mode manifold. Firstly, we simplify the dynamic model of manipulators through logarithmic sliding mode and feedback linearization. After that, the simplified dynamic model is uesd for model predictive control. In order to show the suitability of the proposed control approach, a group of simulations and result analysis are provided.

Original languageEnglish
Title of host publicationProceedings - 2024 39th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1661-1664
Number of pages4
ISBN (Electronic)9798350379228
DOIs
StatePublished - 2024
Event39th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2024 - Dalian, China
Duration: 7 Jun 20249 Jun 2024

Publication series

NameProceedings - 2024 39th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2024

Conference

Conference39th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2024
Country/TerritoryChina
CityDalian
Period7/06/249/06/24

Keywords

  • lgarithm sliding mode control
  • manipulators control
  • model predictive control

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