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...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
EDP Sciences
2018
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| Subjects: | |
| Online Access: | 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 |
| _version_ | 1848821297307451392 |
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| 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 |
| building | UMP Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T02:23:06Z |
| format | Conference or Workshop Item |
| id | ump-21209 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:23:06Z |
| publishDate | 2018 |
| publisher | EDP Sciences |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 (Published) https://doi.org/10.1051/matecconf/201815001017 |
| 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 |
| title | 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_short | Kalman filter estimation of RLC parameters for UMP transmission line |
| title_sort | kalman filter estimation of rlc parameters for ump transmission line |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| 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 |