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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.
Date of Conference: 25-27 May 2009