Novel method for tracking the resonance frequency of RLC loads using extended kalman filter

Author

Farahabadi, Payam M. ; Siavashi, Ehsan M. ; Hassani, Yasser ; Zadeh, Mehdi Karbalai

Author_Institution

Electr. Eng. Dept., Noushirvani Univ. of Technol., Babol

fYear

2009

fDate

25-27 May 2009

Firstpage

831

Lastpage

836

Abstract

This paper presents a novel extended Kalman filter based method for estimating and tracking the RLC load resonance frequency. Assuming the load like an RLC circuit, state-space equations of the system is derived. A nonlinear time-variant model of the circuit is developed and an extended Kalman filter is performed to predict the performance of the system by estimating the real-time resonance frequency of a nonlinear RLC load. The simulation results show that the proposed method can accurately predict and track the resonance frequency of the RLC loads undergoes any types of changes.

Keywords

Kalman filters; RLC circuits; state-space methods; tracking filters; RLC circuit; RLC load resonance frequency; RLC loads; extended Kalman filter; nonlinear RLC load; nonlinear time-variant model; real-time resonance frequency; resonance frequency tracking; state-space equations; Frequency estimation; Load modeling; Nonlinear equations; Phase locked loops; Predictive models; RLC circuits; Resonant frequency; State-space methods; Stochastic processes; Stochastic resonance; RLC load; Resonance frequency; extended Kalman filter (EKF); state space model; tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on

Conference_Location

Xi´an

Print_ISBN

978-1-4244-2799-4

Electronic_ISBN

978-1-4244-2800-7

Type

conf

DOI

10.1109/ICIEA.2009.5138319

Filename

5138319