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

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.