Functional ON/OFF behavioral modeling of power IGBT using system identification methods

In this paper, a method based on the step response of a linear system is being used to obtain a model of power IGBTs. The IGBT voltages and currents are measured at different power ratings and switching frequencies. Using a system identification algorithm, a state-space model is obtained for the system which represents a matching step response. Finally, acquired individual models are combined, using fuzzy description of the system. This model can predict the behavior of the switch over a wide range of frequencies. The current and voltage waveforms of the proposed model in switching action are compared with the actual IGBT. This model can be used in designing the power converters circuit and study the high frequency behavior of the switches.