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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 and Pebrianti, Dwi and Normaniha, Abd Ghani and Nor Hidayati, Abdul Aziz and Nor Azlina, Ab Aziz and Mohd Saberi, Mohamad and Mohd Ibrahim, Shapiai and Zuwairie, Ibrahim (2018) An application of simulated Kalman filter optimization algorithm for parameter tuning in proportional-integral-derivative controllers for automatic voltage regulator system. In: SICE International Symposium On Control Systems 2018, 9-11 March 2018 , Setagaya Campus, Tokyo City University, Tokyo, Japan. pp. 113-120., 2018. ISBN 978-490776458-6

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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. The findings suggest that the SKF algorithm has promising potentials to be a good tuning method in PID controller.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Optimization; PID controller; Simulated Kalman filter
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 07 Aug 2018 04:58
Last Modified: 03 Oct 2018 03:58
URI: http://umpir.ump.edu.my/id/eprint/21484
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