Kalman filter estimation of RLC parameters for UMP transmission line

Kalman filter estimation of RLC parameters for UMP transmission line

This paper present the development of Kalman filter that allows evaluation in the estimation of resistance (R), inductance (L), and capacitance (C) values for Universiti Malaysia Pahang (UMP) short transmission line. To overcome the weaknesses of existing system such as power losses in the transmiss...

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Main Authors: Siti Nur Aishah, Mohd Amin, Hamzah, Ahmad, Mohd Rusllim, Mohamed
Format: Conference or Workshop Item
Language:English
Published: EDP Sciences 2018
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/21209/
http://umpir.ump.edu.my/id/eprint/21209/
http://umpir.ump.edu.my/id/eprint/21209/1/Kalman%20filter%20estimation%20of%20RLC%20parameters%20for%20UMP%20transmission%20line.pdf
id ump-21209
recordtype eprints
spelling ump-212092018-07-13T03:52:20Z http://umpir.ump.edu.my/id/eprint/21209/ Kalman filter estimation of RLC parameters for UMP transmission line Siti Nur Aishah, Mohd Amin Hamzah, Ahmad Mohd Rusllim, Mohamed TK Electrical engineering. Electronics Nuclear engineering This paper present the development of Kalman filter that allows evaluation in the estimation of resistance (R), inductance (L), and capacitance (C) values for Universiti Malaysia Pahang (UMP) short transmission line. To overcome the weaknesses of existing system such as power losses in the transmission line, Kalman Filter can be a better solution to estimate the parameters. The aim of this paper is to estimate RLC values by using Kalman filter that in the end can increase the system efficiency in UMP. In this research, matlab simulink model is developed to analyse the UMP short transmission line by considering different noise conditions to reprint certain unknown parameters which are difficult to predict. The data is then used for comparison purposes between calculated and estimated values. The results have illustrated that the Kalman Filter estimate accurately the RLC parameters with less error. The comparison of accuracy between Kalman Filter and Least Square method is also presented to evaluate their performances. EDP Sciences 2018-02 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/21209/1/Kalman%20filter%20estimation%20of%20RLC%20parameters%20for%20UMP%20transmission%20line.pdf Siti Nur Aishah, Mohd Amin and Hamzah, Ahmad and Mohd Rusllim, Mohamed (2018) Kalman filter estimation of RLC parameters for UMP transmission line. In: Malaysian Technical Universities Conference on Engineering and Technology (MUCET 2017), 6-7 December 2017 , Penang, Malaysia. pp. 1-6., 150. ISSN 2261236X https://doi.org/10.1051/matecconf/201815001017
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
Siti Nur Aishah, Mohd Amin
Hamzah, Ahmad
Mohd Rusllim, Mohamed
Kalman filter estimation of RLC parameters for UMP transmission line
description This paper present the development of Kalman filter that allows evaluation in the estimation of resistance (R), inductance (L), and capacitance (C) values for Universiti Malaysia Pahang (UMP) short transmission line. To overcome the weaknesses of existing system such as power losses in the transmission line, Kalman Filter can be a better solution to estimate the parameters. The aim of this paper is to estimate RLC values by using Kalman filter that in the end can increase the system efficiency in UMP. In this research, matlab simulink model is developed to analyse the UMP short transmission line by considering different noise conditions to reprint certain unknown parameters which are difficult to predict. The data is then used for comparison purposes between calculated and estimated values. The results have illustrated that the Kalman Filter estimate accurately the RLC parameters with less error. The comparison of accuracy between Kalman Filter and Least Square method is also presented to evaluate their performances.
format Conference or Workshop Item
author Siti Nur Aishah, Mohd Amin
Hamzah, Ahmad
Mohd Rusllim, Mohamed
author_facet Siti Nur Aishah, Mohd Amin
Hamzah, Ahmad
Mohd Rusllim, Mohamed
author_sort Siti Nur Aishah, Mohd Amin
title Kalman filter estimation of RLC parameters for UMP transmission line
title_short Kalman filter estimation of RLC parameters for UMP transmission line
title_full Kalman filter estimation of RLC parameters for UMP transmission line
title_fullStr Kalman filter estimation of RLC parameters for UMP transmission line
title_full_unstemmed Kalman filter estimation of RLC parameters for UMP transmission line
title_sort kalman filter estimation of rlc parameters for ump transmission line
publisher EDP Sciences
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/21209/
http://umpir.ump.edu.my/id/eprint/21209/
http://umpir.ump.edu.my/id/eprint/21209/1/Kalman%20filter%20estimation%20of%20RLC%20parameters%20for%20UMP%20transmission%20line.pdf
first_indexed 2023-09-18T22:31:01Z
last_indexed 2023-09-18T22:31:01Z
_version_ 1777416286266982400

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