Date of Graduation
7-2020
Document Type
Dissertation
Degree Name
Doctor of Philosophy in Engineering (PhD)
Degree Level
Graduate
Department
Electrical Engineering
Advisor/Mentor
Luo, Fang
Committee Member
McCann, Roy A.
Second Committee Member
Zhao, Yue
Third Committee Member
Peng, Yarui
Keywords
Active EMI filters; Conducted Emissions; Electromagnetic Interference; Power converters; Power Electronics; Wide bandgap
Abstract
Wide bandgap devices enable high power density power converters. Despite the advantages of increased switching frequency, the passive components are still a major bottleneck towards enabling high power density. Among the passive components in the converter, the passive EMI filters are unavoidable to ensure compliance with conducted EMI standards. Active EMI filters help reduce the volume of the passive components and have been around for three decades now. Firstly, this work presents a summary of all the different active EMI filters based on the type of noise-sensing, noise-processing, the type of active circuits used and the type of control methods. This is followed by modeling, design and stability analysis of three different active EMI filters for DM noise attenuation. The first active EMI filter is a conventional active EMI filter. The key bottlenecks to improving performance of the conventional active EMI filter are identified while still achieving volume reduction of passive components. Following this two novel active EMI filters are presented that overcome the bottlenecks of conventional active EMI filter. The second active EMI filter is based on a analog twin-circuit. This novel filter uses a twin-circuit which enables the use of low-voltage surface-mount components for compensation. The third active EMI filter uses zero-phase filtering implemented in an FPGA. While all the filters are demonstrated for differential-mode noise, their use can be extended for common-mode noise attenuation.
Citation
Narayanasamy, B. (2020). Conducted EMI Mitigation in Power Converters using Active EMI Filters. Graduate Theses and Dissertations Retrieved from https://scholarworks.uark.edu/etd/3793