Comparison and Design of Resonant Network Considering the Characteristics of a Plasma Generator

Geun Wan Koo, Won-Young Sung and Byoung Kuk Lee
Additional contact information
Geun Wan Koo: Department of Electrical and Computer Engineering, Sungkyunkwan University, 2066, Seobu-ro, Jangan-gu, Suwon-si 16419, Gyeonggi-do, Korea
Won-Young Sung: Automotive Research & Development Division, Hyundai Motor Group, 150, Hyundaiyeonguso-ro, Namyang-eup, Hwaseong-si 18280, Gyeonggi-do, Korea
Byoung Kuk Lee: Department of Electrical and Computer Engineering, Sungkyunkwan University, 2066, Seobu-ro, Jangan-gu, Suwon-si 16419, Gyeonggi-do, Korea

Energies, 2019, vol. 12, issue 16, 1-10

Abstract: This paper presents a theoretical analysis and experimental study on the resonant network of the power conditioning system (PCS) for a plasma generator. In order to consider the characteristics of the plasma load, the resonant network of the DC-AC inverter is designed and analyzed. Specifically, the design of an LCL resonant network and an LCCL resonant network, which can satisfy the output current specification in consideration of plasma characteristics, is explained in detail. Moreover, the inverter current and phase angle between the inverter voltage and current is derived for evaluating inverter performance. Based on these analysis results, the DC-AC inverter can be designed for a plasma generator considering plasma load characteristics. The theoretical analysis of both networks is validated through the simulation and experimental results.

Keywords: plasma generator; LCL network; LCCL network; phase compensation; ZVS control (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/12/16/3156/pdf (application/pdf)
https://www.mdpi.com/1996-1073/12/16/3156/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:12:y:2019:i:16:p:3156-:d:258261

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().