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 language | English |
|---|---|
| Article number | e70119 |
| Number of pages | 13 |
| Journal | IET Power Electronics |
| Volume | 18 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 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 purposesFunding
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
| Funders | Funder number |
|---|---|
| National Key Research and Development Program of China | 2023YFE0115900 |
| National Natural Science Foundation of China | 52177201 |
| Natural Science Foundation of Jiangsu Province | BK20220091 |
Keywords
- sensorless machine control
- AC motor drives
- power semiconductor devices
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