Title :
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
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;
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
DOI :
10.1109/ICIEA.2009.5138319
