LAPSE:2023.7121
Published Article
LAPSE:2023.7121
Analysis on Position Estimation Error of Sensorless Control Based on Square-Wave Injection for SynRM Caused by Dead-Time Harmonic Current
Yuhao Huang, Kai Yang, Cheng Luo
February 24, 2023
Sensorless control based on high-frequency square-wave voltage injection (HFSVI) is one of the most common sensorless control methods for synchronous reluctance motors (SynRMs). However, the injection frequency for SynRMs cannot be too high due to various factors. As the injection frequency decreases, the dead-time harmonic current will greatly affect the separation of high frequency signals. This paper analyzes the effect of dead-time harmonic current on the HFSVI-based sensorless control performance of SynRMs and proposes a source of position estimation error. Then, a dead-time compensation method suitable for filter-free HFSVI is proposed. It can estimate current vector spatial orientation without any low-pass filters (LPFs) and effectively compensate the impact of dead-time setting. The correctness of the theoretical analysis and the feasibility of the proposed methods in this paper are verified by experiments.
Keywords
filter-free dead-time compensation, high-frequency square-wave signal injection, sensorless control, synchronous reluctance machines
Suggested Citation
Huang Y, Yang K, Luo C. Analysis on Position Estimation Error of Sensorless Control Based on Square-Wave Injection for SynRM Caused by Dead-Time Harmonic Current. (2023). LAPSE:2023.7121
Author Affiliations
Huang Y: School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Yang K: School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Luo C: School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China [ORCID]
Journal Name
Energies
Volume
15
Issue
24
First Page
9539
Year
2022
Publication Date
2022-12-15
Published Version
ISSN
1996-1073
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PII: en15249539, Publication Type: Journal Article
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LAPSE:2023.7121
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doi:10.3390/en15249539
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Feb 24, 2023
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