Control Delay Compensation of Three-Level Synchronous SVPWM Based on Smith Predictor

High-speed and high-power motor drive systems are critical for applications such as electric vehicles and industrial automation. These systems often utilize synchronous space vector pulse width modulation (SSVPWM) strategies to optimize performance. However, the multi-mode synchronous SVPWM will bring about a sudden change in the phase angle due to the switching of the number of pulses. This paper proposes a method employing the Smith predictor to correct phase and amplitude errors caused by digital control delays. Compared with the existing methods, this method can respond to phase error more quickly, especially at low carrier ratio, thus improving the stability and performance of the system.

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Publication Details

Published
2024-11-06
DOI
https://doi.org/10.1109/ciycee63099.2024.10846223
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.00

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Control Delay Compensation of Three-Level Synchronous SVPWM Based on Smith Predictor

Caiyong Ye, Kaifeng Liu, Zhengxiao Wang, Haoqi Liu et al.
Power Systems and Renewable Energy
article

Control Delay Compensation of Three-Level Synchronous SVPWM Based on Smith Predictor

Caiyong Ye, Kaifeng Liu, Zhengxiao Wang, Haoqi Liu, Shanming Wan
article en

Abstract

High-speed and high-power motor drive systems are critical for applications such as electric vehicles and industrial automation. These systems often utilize synchronous space vector pulse width modulation (SSVPWM) strategies to optimize performance. However, the multi-mode synchronous SVPWM will bring about a sudden change in the phase angle due to the switching of the number of pulses. This paper proposes a method employing the Smith predictor to correct phase and amplitude errors caused by digital control delays. Compared with the existing methods, this method can respond to phase error more quickly, especially at low carrier ratio, thus improving the stability and performance of the system.

State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 71%
Power Systems and Renewable Energy
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