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An application of simulated Kalman filter optimization algorithm for parameter tuning in proportional-integral-derivative controllers for automatic voltage regulator system

  • Badaruddin Muhammad
  • , Dwi Pebrianti
  • , Normaniha Abdul Ghani
  • , Nor Hidayati Abdul Aziz
  • , Nor Azlina Ab Aziz
  • , Mohd Saberi Mohamad
  • , Mohd Ibrahim Shapiai
  • , Zuwairie Ibrahim

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

Abstract

This paper reports the first attempt to tune gain values in proportional-integral-derivative (PID) controllers using an optimizer called simulated Kalman filter (SKF) algorithm. Compared to another well-established optimizer, such as particle swarm optimization (PSO), the SKF algorithm is a relatively new optimizer and most importantly, the SKF algorithm has not been applied to parameter tuning of PID controller. A finding based on automatic voltage regulator system suggests that the SKF algorithm has promising potentials to be a good tuning method in PID controller.

Original languageEnglish
Title of host publicationSICE ISCS 2018 - 2018 SICE International Symposium on Control Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages113-120
Number of pages8
ISBN (Electronic)9784907764586
DOIs
Publication statusPublished - Apr 2 2018
Externally publishedYes
Event2018 SICE International Symposium on Control Systems, SICE ISCS 2018 - Tokyo, Japan
Duration: Mar 9 2018Mar 11 2018

Publication series

NameSICE ISCS 2018 - 2018 SICE International Symposium on Control Systems
Volume2018-January

Conference

Conference2018 SICE International Symposium on Control Systems, SICE ISCS 2018
Country/TerritoryJapan
CityTokyo
Period3/9/183/11/18

Keywords

  • Optimization
  • PID controller
  • simulated Kalman filter

ASJC Scopus subject areas

  • Process Chemistry and Technology
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Control and Optimization

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