Implementation of adaptive fuzzy dual rate PID controller for networked control systems

  • Hoang Ngoc Tran
  • , Vinh Quang Nguyen
  • , Nhan Van Phan Tran
  • , Kien Minh Le
  • , Jae Wook Jeon

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

2 Scopus citations

Abstract

In Network Control Systems (NCSs), a dual rate controller is an approach that is applied to reduce the influence of packages loss and random delays. If the output measuring sensors is slower than the control action update can be reached, the dual rate controller is used as a possible solution. In this paper, a fuzzy controller will be combined with a dual rate controller in an NCS to regulate the gain parameter online. The fuzzy dual rate PID is designed by slitting a convention PID into two parts performing at different sampling rate. A Controller Area Network (CAN) is the mode of communication in this system. Furthermore, the Fuzzy-dual rate PID controllers performance is compared with that of a conventional PID controller. Based on the simulation results and experimental results, the fuzzy dual rate PID controller provides a superior position response with a faster rise time, faster settling time and it minimizes the amount of overshoot.

Original languageEnglish
Title of host publicationProceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3390-3395
Number of pages6
ISBN (Electronic)9781538611272
DOIs
StatePublished - 15 Dec 2017
Event43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017 - Beijing, China
Duration: 29 Oct 20171 Nov 2017

Publication series

NameProceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
Volume2017-January

Conference

Conference43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017
Country/TerritoryChina
CityBeijing
Period29/10/171/11/17

Keywords

  • CAN network communication
  • Digital control
  • Dual rate PID controller
  • Fuzzy PID controller
  • Network Control Systems

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