A Computationally Efficient Current-Sensorless Three-Vector Modulated Model Predictive Control With Neutral-Point Voltage Balancing for T-Type Inverters With <i>LC</i> Filters

This paper proposes a current-sensorless model predictive control (MPC) method for T-type three-level inverters with LC filters, eliminating the need for inductor or load current measurements. A capacitor current observer and a cost-function-modulated three-vector MPC are integrated to simultaneously regulate output voltage and balance the neutral-point voltage. To reduce computational complexity, a two-stage optimization strategy prioritizes vector length selection and voltage balancing, enabling its real-time implementation at kilohertz frequencies. Experimental results validate the method’s effectiveness, demonstrating comparable performance to sensor-based approaches.

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Publication Details

Journal
IEEE Transactions on Transportation Electrification
Published
2025-05-27
DOI
https://doi.org/10.1109/tte.2025.3574128
Citations
1
Primary Topic
Multilevel Inverters and Converters
Type
article
Field-Weighted Citation Impact
0.73

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article

A Computationally Efficient Current-Sensorless Three-Vector Modulated Model Predictive Control With Neutral-Point Voltage Balancing for T-Type Inverters With LC Filters

Weibo Zeng, Chee Shen Lim, Kai Ni, R. Mo et al.
1 citations
IEEE Transactions on Transportation Electrification
Multilevel Inverters and Converters
0.73
article

A Computationally Efficient Current-Sensorless Three-Vector Modulated Model Predictive Control With Neutral-Point Voltage Balancing for T-Type Inverters With LC Filters

Weibo Zeng, Chee Shen Lim, Kai Ni, R. Mo, José Rodríguez, Xinan Zhang, Yong Yang, Rong Chen, Gang Fang, Aiming Ji
article en
1 citations

Abstract

This paper proposes a current-sensorless model predictive control (MPC) method for T-type three-level inverters with LC filters, eliminating the need for inductor or load current measurements. A capacitor current observer and a cost-function-modulated three-vector MPC are integrated to simultaneously regulate output voltage and balance the neutral-point voltage. To reduce computational complexity, a two-stage optimization strategy prioritizes vector length selection and voltage balancing, enabling its real-time implementation at kilohertz frequencies. Experimental results validate the method’s effectiveness, demonstrating comparable performance to sensor-based approaches.

IEEE Transactions on Transportation ElectrificationVol. 11(5)
The University of Western Australia (AU), San Sebastián University (CL), Soochow University (CN), State Nuclear Power Technology Company (China) (CN), Xi’an Jiaotong-Liverpool University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 28%
Multilevel Inverters and Converters
0.73
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A Computationally Efficient Current-Sensorless Three-Vector Modulated Model Predictive Control With Neutral-Point Voltage Balancing for T-Type Inverters With <i>LC</i> Filters — Weibo Zeng, Chee Shen Lim, et al. · IEEE Transactions on Transportation Electrification (2025) | TGRS Research Map | TGRS