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The improved Fuzzy-Smith compensator based on modeling error for network control system

  • Harbin Institute of Technology

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

Abstract

This paper proposes a Fuzzy-Smith compensator based on the modeling error for the time delay compensation of network control system (NCS). When the controlled plant is a nonlinear time-varying system, the identification model error of Smith predictor will change as well, which will lead to a poor control performance. For this problem, the fuzzy control method based on identification model gain self-tuning is introduced to improve the robustness of the compensator. Simulation and experimental results show good performance on the time delay compensation and modeling error correction for the NCS.

Original languageEnglish
Title of host publication4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages106-110
Number of pages5
ISBN (Electronic)9781479936687
DOIs
StatePublished - 7 Oct 2014
Event4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2014 - Hong Kong, China
Duration: 4 Jun 20147 Jun 2014

Publication series

Name4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2014

Conference

Conference4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2014
Country/TerritoryChina
CityHong Kong
Period4/06/147/06/14

Keywords

  • fuzzy control
  • modeling error
  • network control system
  • smith predictor
  • time delay

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