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

8 Citations (Scopus)

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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