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Article

Improved Model Predictive Current Control of NPC Three-Level Converter Fed PMSM System for Neutral Point Potential Imbalance Suppression

1
School of Electrical Engineering, Tiangong University, Tianjin 300387, China
2
Zhejiang University Advanced Electrical Equipment Innovation Center, Hangzhou 311107, China
*
Author to whom correspondence should be addressed.
World Electr. Veh. J. 2022, 13(7), 113; https://doi.org/10.3390/wevj13070113
Submission received: 13 May 2022 / Revised: 17 June 2022 / Accepted: 22 June 2022 / Published: 24 June 2022
(This article belongs to the Special Issue Power Converters and Electric Motor Drives)

Abstract

For the neutral point clamped (NPC) three-level converter fed permanent magnet synchronous motor (PMSM) system, the performance of the conventional model predictive current control (MPCC) algorithm will be deteriorated if the amplitude of the neutral point potential (NPP) is large. Additionally, the adjustment process of the weighted coefficients of the conventional MPCC algorithm is complex because of numerous control terms in the cost function. To solve the above issues, an improved MPCC algorithm is proposed in this paper. Firstly, Newtonian iteration is used to transfer the stator current into stator voltage in the cost function. Then, the NPP term in the conventional cost function can be eliminated by introducing the partition control of the NP potential, which also eliminates the whole adjustment process of weighting coefficients. Finally, based on the amplitude of the NPP, the amplitude and phase angle of medium and small vectors are modified to improve the control performance of the torque and flux. Experimental results show that the fluctuation of the neutral point potential can be suppressed rapidly. Meanwhile, the performance of the torque, flux and current are also improved compared with the conventional MPCC.
Keywords: permanent magnet synchronous motor; three-level converter; model predictive current control permanent magnet synchronous motor; three-level converter; model predictive current control

Share and Cite

MDPI and ACS Style

Zhang, G.; Liu, Q.; Wang, J.; Li, C.; Gu, X. Improved Model Predictive Current Control of NPC Three-Level Converter Fed PMSM System for Neutral Point Potential Imbalance Suppression. World Electr. Veh. J. 2022, 13, 113. https://doi.org/10.3390/wevj13070113

AMA Style

Zhang G, Liu Q, Wang J, Li C, Gu X. Improved Model Predictive Current Control of NPC Three-Level Converter Fed PMSM System for Neutral Point Potential Imbalance Suppression. World Electric Vehicle Journal. 2022; 13(7):113. https://doi.org/10.3390/wevj13070113

Chicago/Turabian Style

Zhang, Guozheng, Qiyuan Liu, Jian Wang, Chen Li, and Xin Gu. 2022. "Improved Model Predictive Current Control of NPC Three-Level Converter Fed PMSM System for Neutral Point Potential Imbalance Suppression" World Electric Vehicle Journal 13, no. 7: 113. https://doi.org/10.3390/wevj13070113

APA Style

Zhang, G., Liu, Q., Wang, J., Li, C., & Gu, X. (2022). Improved Model Predictive Current Control of NPC Three-Level Converter Fed PMSM System for Neutral Point Potential Imbalance Suppression. World Electric Vehicle Journal, 13(7), 113. https://doi.org/10.3390/wevj13070113

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