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http://dx.doi.org/10.1007/s43236-020-00167-8

Optimized separation method for conducted EMI noise based on Mardiguian network and common mode choke  

Zhou, Mengxia (Jiangsu Engineering Key Lab of Electrical Equipment and Electromagnetic Compatibility, Nanjing Normal University)
Yang, Zhao (Jiangsu Engineering Key Lab of Electrical Equipment and Electromagnetic Compatibility, Nanjing Normal University)
Liu, Xingfa (State Key Laboratory of Power Grid Environmental Protection, China Electric Power Research Institute)
Wang, Yongan (Jiangsu Engineering Key Lab of Electrical Equipment and Electromagnetic Compatibility, Nanjing Normal University)
Wu, Xianqiang (Jiangsu Engineering Key Lab of Electrical Equipment and Electromagnetic Compatibility, Nanjing Normal University)
Zhang, Cheng (Jiangsu Engineering Key Lab of Electrical Equipment and Electromagnetic Compatibility, Nanjing Normal University)
Wei, Yan (Jiangsu Engineering Key Lab of Electrical Equipment and Electromagnetic Compatibility, Nanjing Normal University)
Publication Information
Journal of Power Electronics / v.21, no.1, 2021 , pp. 204-213 More about this Journal
Abstract
Based on the characteristic parameters of a noise discrimination network (NDN), the Mardiguian network is used as an example to investigate the influence of stray capacitance on the performance of the NDN. The obtained results show that stray capacitance has a significant effect on the performance of the NDN. Considering the influence of stray capacitance, this paper proposes a network optimization method based on the Mardiguian network. The optimization method is superior to the Mardiguian network in performance, and it improves the separation accuracy of differential mode noise.
Keywords
EMI; NDN; DMRR; DMIL; Stray capacitance;
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