An adaptive Smith Predictor control scheme for a downstream vacuum system

An-Chen Lee, Tai Ho Fu, Shih Chung Chang

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

Abstract

This paper presents an adaptive control scheme to control a vacuum pressure system which can be applied in vacuum manufacturing industry. From the theory of vacuum system and system identification, the nonlinear dynamics of system can be linearized as a first-order plus dead time model (FOPDT). Having wide variation of parameters with time delay in different operation region is the main challenge of vacuum control. The proposed adaptive Smith Predictor control strategy can effectively on-line estimate system model well and deal with time delay under wide variation of parameters simultaneously. The experimental results are provided to demonstrate the advantages and performance of the proposed systematic method.

Original languageEnglish
Title of host publicationProceedings - 2016 International Conference on Artificial Intelligence and Robotics, ICAIR 2016 and 2016 International Conference on Automation, Control and Robotics Engineering, CACRE 2016
EditorsDan Zhang, Marius Balas, Tshilidzi Marwala, Tshilidzi Marwala, Jongwon Kim
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450342353
DOIs
StatePublished - 13 Jul 2016
Event2016 International Conference on Artificial Intelligence and Robotics, ICAIR 2016 and 2016 International Conference on Automation, Control and Robotics Engineering, CACRE 2016 - Kitakyushu, Japan
Duration: 13 Jul 201615 Jul 2016

Publication series

NameACM International Conference Proceeding Series
Volume13-15-July-2016

Conference

Conference2016 International Conference on Artificial Intelligence and Robotics, ICAIR 2016 and 2016 International Conference on Automation, Control and Robotics Engineering, CACRE 2016
CountryJapan
CityKitakyushu
Period13/07/1615/07/16

Keywords

  • Adaptive control
  • FOPDT
  • Smith Predictor
  • Vacuum system

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