An exponential based simulated kalman filter algorithm for data-driven PID tuning in liquid slosh controller

This paper presents an Exponent-based Simulated Kalman Filter (EbSKF) algorithm. SKF is a random based optimization algorithm inspired from a Kalman Filter theory. A Kalman gain is formulated following the prediction, measurement and estimation steps of the Kalman filter design. The Kalman gain is u...

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Main Authors:	Mohd Falfazli, Mat Jusof, Ahmad Nor Kasruddin, Nasir, Mohd Ashraf, Ahmad, Zuwairie, Ibrahim
Format:	Conference or Workshop Item
Language:	English
Published:	IEEE 2018
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/21621/ http://umpir.ump.edu.my/id/eprint/21621/ http://umpir.ump.edu.my/id/eprint/21621/1/An%20exponential%20based%20simulated%20kalman%20filter%20algorithm.pdf

id	ump-21621
recordtype	eprints
spelling	ump-216212018-07-18T03:30:37Z http://umpir.ump.edu.my/id/eprint/21621/ An exponential based simulated kalman filter algorithm for data-driven PID tuning in liquid slosh controller Mohd Falfazli, Mat Jusof Ahmad Nor Kasruddin, Nasir Mohd Ashraf, Ahmad Zuwairie, Ibrahim TK Electrical engineering. Electronics Nuclear engineering This paper presents an Exponent-based Simulated Kalman Filter (EbSKF) algorithm. SKF is a random based optimization algorithm inspired from a Kalman Filter theory. A Kalman gain is formulated following the prediction, measurement and estimation steps of the Kalman filter design. The Kalman gain is utilized to introduce a dynamic step size of a search agent in the SKF algorithm. The proposed EbSKF is strategized such that the Kalman gain is formulated based on an exponential function with respect to number of cost function evaluation (NFE). The Kalman gain is exponentially reduced when the NFE increases in which happens when the search operation is progress forward. The algorithm is tested to PID tuning for liquid slosh control application. The EbSKF is compared with the original SKF algorithm. In this study, 30 independent runs are performed to record different values of the best solutions generated by the algorithms of interest. The average of the minimum value is compared. It determines significant difference of the generated solution and it reflected the accuracy of the solution. Result of the statistical analysis on the accuracy, which is tested on the function of slosh control application is presented in a table form. The result shows that the proposed algorithm outperforms SKF significantly. The convergence plot for both EbSKF and original SKF is also presented and it confirms the statistical result. IEEE 2018-04 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/21621/1/An%20exponential%20based%20simulated%20kalman%20filter%20algorithm.pdf Mohd Falfazli, Mat Jusof and Ahmad Nor Kasruddin, Nasir and Mohd Ashraf, Ahmad and Zuwairie, Ibrahim (2018) An exponential based simulated kalman filter algorithm for data-driven PID tuning in liquid slosh controller. In: International Conference on Applied System Innovation (ICASI 2018), 13-17 April 2018 , Chiba, Japan. pp. 1-4.. ISBN 978-1-5386-4342-6 https://ieeexplore.ieee.org/abstract/document/8394437/
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Mohd Falfazli, Mat Jusof Ahmad Nor Kasruddin, Nasir Mohd Ashraf, Ahmad Zuwairie, Ibrahim An exponential based simulated kalman filter algorithm for data-driven PID tuning in liquid slosh controller
description	This paper presents an Exponent-based Simulated Kalman Filter (EbSKF) algorithm. SKF is a random based optimization algorithm inspired from a Kalman Filter theory. A Kalman gain is formulated following the prediction, measurement and estimation steps of the Kalman filter design. The Kalman gain is utilized to introduce a dynamic step size of a search agent in the SKF algorithm. The proposed EbSKF is strategized such that the Kalman gain is formulated based on an exponential function with respect to number of cost function evaluation (NFE). The Kalman gain is exponentially reduced when the NFE increases in which happens when the search operation is progress forward. The algorithm is tested to PID tuning for liquid slosh control application. The EbSKF is compared with the original SKF algorithm. In this study, 30 independent runs are performed to record different values of the best solutions generated by the algorithms of interest. The average of the minimum value is compared. It determines significant difference of the generated solution and it reflected the accuracy of the solution. Result of the statistical analysis on the accuracy, which is tested on the function of slosh control application is presented in a table form. The result shows that the proposed algorithm outperforms SKF significantly. The convergence plot for both EbSKF and original SKF is also presented and it confirms the statistical result.
format	Conference or Workshop Item
author	Mohd Falfazli, Mat Jusof Ahmad Nor Kasruddin, Nasir Mohd Ashraf, Ahmad Zuwairie, Ibrahim
author_facet	Mohd Falfazli, Mat Jusof Ahmad Nor Kasruddin, Nasir Mohd Ashraf, Ahmad Zuwairie, Ibrahim
author_sort	Mohd Falfazli, Mat Jusof
title	An exponential based simulated kalman filter algorithm for data-driven PID tuning in liquid slosh controller
title_short	An exponential based simulated kalman filter algorithm for data-driven PID tuning in liquid slosh controller
title_full	An exponential based simulated kalman filter algorithm for data-driven PID tuning in liquid slosh controller
title_fullStr	An exponential based simulated kalman filter algorithm for data-driven PID tuning in liquid slosh controller
title_full_unstemmed	An exponential based simulated kalman filter algorithm for data-driven PID tuning in liquid slosh controller
title_sort	exponential based simulated kalman filter algorithm for data-driven pid tuning in liquid slosh controller
publisher	IEEE
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/21621/ http://umpir.ump.edu.my/id/eprint/21621/ http://umpir.ump.edu.my/id/eprint/21621/1/An%20exponential%20based%20simulated%20kalman%20filter%20algorithm.pdf
first_indexed	2023-09-18T22:31:48Z
last_indexed	2023-09-18T22:31:48Z
_version_	1777416335663300608

An exponential based simulated kalman filter algorithm for data-driven PID tuning in liquid slosh controller

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