Parameter estimation and its application in tuning PI control scheme

Sanjay Bhadra, Atanu Panda, Sawan Sen, Parijat Bhowmick

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

Abstract

In this paper, Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF) based robust adaptive PI Control Scheme have been proposed and implemented on the simulated model of the non-linear benchmark processes. The servo and regulatory performance using proposed tuning methodologies were found satisfactory. The performances of the proposed control schemes have been compared with conventional adaptive PI (CA-PI) control scheme. From the extensive simulation studies, it was found that the proposed schemes implemented on non-linear processes are having better performance over CA-PI control scheme. It was also found that proposed control schemes are able to eliminate measurement noise and having good robustness features.

Original languageEnglish
Title of host publicationIEMTRONICS 2020 - International IOT, Electronics and Mechatronics Conference, Proceedings
EditorsSatyajit Chakrabarti, Rajashree Paul, Bob Gill, Malay Gangopadhyay, Sanghamitra Poddar
PublisherIEEE
ISBN (Electronic)9781728196152
DOIs
Publication statusPublished - Sept 2020
Event2020 IEEE International IOT, Electronics and Mechatronics Conference, IEMTRONICS 2020 - Vancouver, Canada
Duration: 9 Sept 202012 Sept 2020

Publication series

NameIEMTRONICS 2020 - International IOT, Electronics and Mechatronics Conference, Proceedings

Conference

Conference2020 IEEE International IOT, Electronics and Mechatronics Conference, IEMTRONICS 2020
Country/TerritoryCanada
CityVancouver
Period9/09/2012/09/20

Keywords

  • EKF
  • Model-based control
  • Parameter estimation
  • Spherical tank process
  • Tracking
  • UKF

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