Switched capacitor location identification using TLS-ESPRIT approach

This paper presents a new method in identifying the switched capacitor location from the measured transient voltage waveform. The measured transient voltage waveform due to capacitor switching is composed of a summation of damped sinusoidal components. Total Least Square-Estimation of Signal Parameters Via Rotational Invariance Technique (TLS-ESPRIT) is used to estimate the transient signal parameters of different modes contained in the signals. These parameters are functions of the switched capacitor location. Feed Forward Artificial Neural Network (FF-ANN) is employed to identify the location of the switched capacitor based on the frequencies and amplitudes of various modes, contained in the transient voltage signal, extracted using TLS-ESPRIT. The simulation results prove the competence of the proposed methodology.