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Low‐Speed Sensorless Control of Induction Motors Using Silicon Carbide (SiC) Inverters

  • Xiaoliang Bian
  • , Xibo Yuan
  • , Wenzhi Zhou
  • , Shuo Chen
  • , Kai Wang

Research output: Contribution to journalArticlepeer-review

Abstract

Current research on sensorless control for induction motors (IMs) with silicon inverters shows inadequate performance at low speeds. However, there is no reported literature on the influence of silicon carbide (SiC) device characteristics on the performance of IM sensorless control for model‐based methods, and the influence remains unclear. This article addresses this gap by demonstrating an IM sensorless control system with SiC inverters and investigating its speed estimation accuracy under low‐speed conditions. Firstly, the mechanism relationship between SiC device characteristics and speed estimation accuracy is revealed to reduce estimation error. Further, a three‐level adaptive compensation method, considering non‐ideal factors, such as the electromagnetic interference caused by high dv/dt of SiC devices and the parasitic capacitance effect, is proposed to improve the speed estimation accuracy. As a result, the low‐speed operating range is extended to 15 rpm (0.5 Hz), and the speed error is below 5 rpm in dynamic and static conditions of the speed from 30 to 60 rpm, which is verified on a 7.5 kW IM drive platform based on the SiC inverter.
Original languageEnglish
Article numbere70119
Number of pages13
JournalIET Power Electronics
Volume18
Issue number1
DOIs
Publication statusPublished - 15 Sept 2025

Bibliographical note

This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the originalwork is properly cited and is not used for commercial purposes

Funding

This work was supported by the National Key R&D Program of China under Grant 2023YFE0115900, National Natural Science Foundation of China under Grant 52177201 and Natural Science Foundation of Jiangsu Province under Grant BK20220091. : This work was supported by the National Key R&D Program of China under Grant 2023YFE0115900, National Natural Science Foundation of China under Grant 52177201 and Natural Science Foundation of Jiangsu Province under Grant BK20220091. Funding

FundersFunder number
National Key Research and Development Program of China2023YFE0115900
National Natural Science Foundation of China52177201
Natural Science Foundation of Jiangsu ProvinceBK20220091

    Keywords

    • sensorless machine control
    • AC motor drives
    • power semiconductor devices

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