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Linearization Design of Servo System and Parameter Identification Based on LuGre Model

  • School of Electrical Engineering and Automation, Harbin Institute of Technology
  • School of Mechatronics Engineering, Harbin Institute of Technology

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

Abstract

This paper proposes linearization control for servo systems with friction and parameter identification based on LuGre model. We give the process of controller design using state space method and analysis conditions for asymptotic stability. Considering practical application, the structure of controller is simplified. To guarantee the system stability, parameters range is derived with Louts criterion. The dynamic parameters of LuGre model are usually difficult to obtain, thus a new identification algorithm is presented by utilizing a high-gain closed-loop speed control. The algorithm can conveniently get results in an acceptable precision scope. Finally, the validity of the algorithm is verified through simulation.

Original languageEnglish
Title of host publicationProceedings of the 16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1944-1947
Number of pages4
ISBN (Electronic)9781665422482
DOIs
StatePublished - 1 Aug 2021
Externally publishedYes
Event16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021 - Chengdu, China
Duration: 1 Aug 20214 Aug 2021

Publication series

NameProceedings of the 16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021

Conference

Conference16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021
Country/TerritoryChina
CityChengdu
Period1/08/214/08/21

Keywords

  • LuGre model
  • linearization control
  • parameter identification
  • position tracking
  • servo systems

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