LAPSE:2023.6889
Published Article
LAPSE:2023.6889
Model Predictive Current Control for DC-Link Ripple Voltage Suppression in Electrolytic Capacitor-Less Drive System
Chao Zhang, Yiming Zheng, Wenchao Zhu, Rongwei Gao
February 24, 2023
Electrolytic capacitor-less drive systems have a higher lifespan and reliability. However, the DC-link voltage of ECL drive systems has a sudden change under dynamic conditions, which results in a serious degradation of the drive system performance. To solve the problem, this paper proposes a model predictive current control (MPCC) based on motor power change. A grid current predictive model based on motor power change is established. Motor power change is introduced into the cost function, so that grid power can quickly and accurately track the motor power under dynamic conditions, thereby effectively avoiding the sudden change of the DC-link voltage. Meanwhile, the current predictive model for decoupling inductor in the asymmetric split-capacitor active power decoupling circuit (APDC) is constructed. It realizes the high-precision complementary control of the split-capacitor voltages under various working conditions, and effectively reduces the DC-link voltage ripple. The experimental results verify the effectiveness of the proposed MPCC.
Keywords
active power decoupling converter (APDC), DC-link voltage ripple suppression, electrolytic capacitor-less (ECL) drive system, model predictive current control (MPCC), motor power change
Suggested Citation
Zhang C, Zheng Y, Zhu W, Gao R. Model Predictive Current Control for DC-Link Ripple Voltage Suppression in Electrolytic Capacitor-Less Drive System. (2023). LAPSE:2023.6889
Author Affiliations
Zhang C: School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China
Zheng Y: School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China
Zhu W: School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China
Gao R: School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China
Journal Name
Energies
Volume
15
Issue
24
First Page
9297
Year
2022
Publication Date
2022-12-08
Published Version
ISSN
1996-1073
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PII: en15249297, Publication Type: Journal Article
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doi:10.3390/en15249297
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