Modulated Model Predictive Current Control of HERIC AFE Converter Equipped with LCL Filter
- Title
- Modulated Model Predictive Current Control of HERIC AFE Converter Equipped with LCL Filter
- Author
- 이은수
- Keywords
- Modulated model predictive control; Highly efcient and reliable inverter concept; LCL flter; Active front end converter
- Issue Date
- 2021-09
- Publisher
- SPRINGER HEIDELBERG
- Citation
- Journal of Power Electronics, 22(1), pp.151-161 Jan, 2022
- Abstract
- This paper proposes a modulated model predictive control (MMPC) of a highly efcient and reliable inverter concept
(HERIC) active front end (AFE) converter equipped with an LCL flter. The proposed method is based on the model predictive
control (MPC) concept and obtains the optimized duty cycle by using three-level switching states which can be implemented
in the HERIC converter. By doing so, the AFE converter achieves fast and precise current control. In addition, the obtained
duty cycle is not limited to the polarity of the grid voltage, so it is possible to track the current reference more accurately
near the zero-crossing points. The frst-order approximation model of the LCL flter is derived to simplify the controller
design process with the proposed MMPC. After that, the MMPC algorithm is adopted based on this simplifed model in the
single-phase system. The switching pattern of the HERIC topology is also proposed considering the MMPC under changing
polarity of the duty cycle. To verify the performance of the proposed scheme, a 3 kW HERIC AFE converter was built and
tested. Both simulation and experimental results demonstrate that the proposed scheme not only improves total harmonic
distortion, but also achieves a fast-tracking performance.
- URI
- https://link.springer.com/article/10.1007/s43236-021-00341-6https://repository.hanyang.ac.kr/handle/20.500.11754/170436
- ISSN
- 2093-4718; 1598-2092
- DOI
- 10.1007/s43236-021-00341-6
- Appears in Collections:
- COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRICAL ENGINEERING(전자공학부) > Articles
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