Title :
Functional ON/OFF behavioral modeling of power IGBT using system identification methods
Author :
Nejadpak, Arash ; Mohammed, Osama A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Florida Int. Univ., Miami, FL, USA
Abstract :
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.
Keywords :
power convertors; power semiconductor switches; current waveforms; functional on/off behavioral modeling; fuzzy description; high frequency behavior; matching step response; power IGBT; power converters; power ratings; state-space model; switching frequencies; system identification methods; voltage waveforms; Analytical models; Insulated gate bipolar transistors; Integrated circuit modeling; Mathematical model; State-space methods; Switches; Switching frequency;
Conference_Titel :
Applied Power Electronics Conference and Exposition (APEC), 2012 Twenty-Seventh Annual IEEE
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4577-1215-9
Electronic_ISBN :
978-1-4577-1214-2
DOI :
10.1109/APEC.2012.6166070
