Adaptive terminal sliding mode control for servo systems with nonlinear compensation

Tianyi Zeng, Xuemei Ren*, Wei Zhao, Shubo Wang

*Corresponding author for this work

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

Abstract

To achieve high accurate position tracking of servo systems with backlash and friction nonlinearity, a terminal sliding mode controller with adaptive compensation is proposed in this paper. The nonlinear backlash model is converted into the linear expression in order to simplify the system for control-oriented design. The presented controller consists two parts, which are position tracking controller and nonlinear compensator. A novel terminal sliding mode controller is proposed by adopting a terminal sliding mode manifold, while making sure the control system could reach the sliding surface and converge to equilibrium point in finite time. The adaptive compensator is used to compensate the error caused by linearization and friction including static friction and viscous dissipation. Simulation results verify the reliability and effectiveness of the proposed method.

Original languageEnglish
Title of host publicationProceedings of 2016 Chinese Intelligent Systems Conference
EditorsWeicun Zhang, Yingmin Jia, Hongbo Li, Junping Du
PublisherSpringer Verlag
Pages245-254
Number of pages10
ISBN (Print)9789811023347
DOIs
Publication statusPublished - 2016
EventInternational Conference on Chinese Intelligent Systems Conference, CISC 2016 - Xiamen, China
Duration: 1 Jan 2016 → …

Publication series

NameLecture Notes in Electrical Engineering
Volume405
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Chinese Intelligent Systems Conference, CISC 2016
Country/TerritoryChina
CityXiamen
Period1/01/16 → …

Keywords

  • Adaptive control
  • Nonlinear compensation
  • Servo system
  • Terminal sliding mode control

Fingerprint

Dive into the research topics of 'Adaptive terminal sliding mode control for servo systems with nonlinear compensation'. Together they form a unique fingerprint.

Cite this