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Kalman filter estimation of RLC parameters for UMP transmission line

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

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Abstract

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.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Kalman filters; Noise conditions; Matlab simulink models
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 13 Jul 2018 03:52
Last Modified: 13 Jul 2018 03:52
URI: http://umpir.ump.edu.my/id/eprint/21209
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