Model Predictive Current Control for DC-Link Ripple Voltage Suppression in Electrolytic Capacitor-Less Drive System

Chao Zhang (), Yiming Zheng, Wenchao Zhu and Rongwei Gao
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Chao Zhang: School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China
Yiming Zheng: School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China
Wenchao Zhu: School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China
Rongwei Gao: School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China

Energies, 2022, vol. 15, issue 24, 1-16

Abstract: 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: electrolytic capacitor-less (ECL) drive system; model predictive current control (MPCC); motor power change; active power decoupling converter (APDC); DC-link voltage ripple suppression (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: 2022
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