Neural network-based sliding mode control for dual-motor servo systems

Wei Zhao, Xuemei Ren

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

2 Citations (Scopus)

Abstract

This paper proposes a fast terminal sliding mode (FTSM) control for dual-motor servo systems with external output disturbance. The method of neural network (NN) is used for FTSM, such that the system is sufficient to achieve the elimination of external output disturbance and tracking control for the reference signal with prescribed performance. A continuous differentiable function is adopted to account for the non-differential deadzone. The proposed FTSM has a faster convergence rate than the conventional sliding mode. More importantly, the tracking error is uniformly ultimately bounded. The simulation results are included to verify the reliability and effectiveness.

Original languageEnglish
Title of host publication3rd IFAC Conference on Intelligent Control and Automation Science, ICONS 2013 - Proceedings
PublisherIFAC Secretariat
Pages382-386
Number of pages5
EditionPART 1
ISBN (Print)9783902823458
DOIs
Publication statusPublished - 2013
Event3rd IFAC Conference on Intelligent Control and Automation Science, ICONS 2013 - Chengdu, China
Duration: 2 Sept 20134 Sept 2013

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
NumberPART 1
Volume3
ISSN (Print)1474-6670

Conference

Conference3rd IFAC Conference on Intelligent Control and Automation Science, ICONS 2013
Country/TerritoryChina
CityChengdu
Period2/09/134/09/13

Keywords

  • Dual-motor servo systems
  • Fast terminal sliding mode
  • Neural network
  • Noise disturbance
  • Tracking control

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