Comparison of PID methods for networked control systems

Mercedes Chacon Vasquez, Reza Katebi

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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Abstract

This work presents significant developments in Networked Control Systems based on PID, Internal Model Control and Smith Predictor algorithms. The main purpose of this research paper is to study the performance and robustness offered by these control design methods in handling the challenging control problem encountered with systems subject to time-varying delays and dropouts. It is expected that proposed design methods achieve design requirements such as margins of robustness, performance criterions and stability conditions while the simplicity and flexibility of the controller are preferred. Performance of these controllers is evaluated and extensive simulations of these methods are presented using Matlab TrueTime toolbox.

Original languageEnglish
Title of host publication2016 UKACC International Conference on Control, UKACC Control 2016
Place of PublicationPiscataway, NJ.
PublisherIEEE
Pages1-6
Number of pages6
ISBN (Electronic)9781467398916
ISBN (Print)9781467398923
DOIs
Publication statusPublished - 7 Nov 2016
Event11th UKACC United Kingdom Automatic Control Council International Conference on Control, UKACC Control 2016 - Belfast, United Kingdom
Duration: 31 Aug 20162 Sep 2016

Conference

Conference11th UKACC United Kingdom Automatic Control Council International Conference on Control, UKACC Control 2016
CountryUnited Kingdom
CityBelfast
Period31/08/162/09/16

Keywords

  • delays
  • mathematical model
  • transfer functions
  • process control
  • predictive models
  • robustness
  • delay effects
  • time-varying systems
  • control system synthesis
  • networked control systems

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  • Cite this

    Vasquez, M. C., & Katebi, R. (2016). Comparison of PID methods for networked control systems. In 2016 UKACC International Conference on Control, UKACC Control 2016 (pp. 1-6). [7737553] IEEE. https://doi.org/10.1109/CONTROL.2016.7737553