DocumentCode :
621608
Title :
IGBT converters conducted EMI analysis by controlled multiple-slope switching waveform approximation
Author :
Yang, Xin ; Zhang, Xueqiang ; Palmer, Patrick R.
Author_Institution :
Centre for Advanced Photonics and Electronics, Department of Engineering, University of Cambridge, CB3 0FA, U.K.
fYear :
2013
fDate :
28-31 May 2013
Firstpage :
1
Lastpage :
6
Abstract :
IGBTs realise high-performance power converters. Unfortunately, with fast switching of the IGBT-free wheel diode chopper cell, such circuits are intrinsic sources of high-level EMI. Therefore, costly EMI filters or shielding are normally needed on the load and supply side. In order to design these EMI suppression components, designers need to predict the EMI level with reasonable accuracy for a given structure and operating mode. Simplifying the transient IGBT switching current and voltage into a multiple slope switching waveform approximation offers a feasible way to estimate conducted EMI with some accuracy. This method is dependent on the availability of high-fidelity measurements. Also, that multiple slope approximation needs careful and time-costly IGBT parameters optimisation process to approach the real switching waveform. In this paper, Active Voltage Control Gate Drive(AVC GD) is employed to shape IGBT switching into several defined slopes. As a result, Conducted EMI prediction by multiple slope switching approximation could be more accurate, less costly but more friendly for implementation.
Keywords :
Approximation methods; Automatic voltage control; Electromagnetic interference; Insulated gate bipolar transistors; Integrated circuits; Logic gates; Switches; Active Voltage Control (AVC); Conducted EMI; EMI Prediction; IGBT; Multiple-Slope Approximation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics (ISIE), 2013 IEEE International Symposium on
Conference_Location :
Taipei, Taiwan
ISSN :
2163-5137
Print_ISBN :
978-1-4673-5194-2
Type :
conf
DOI :
10.1109/ISIE.2013.6563663
Filename :
6563663
Link To Document :
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