Sensorless Speed Estimation for an Induction Motor Using mSDTFT
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(1. Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China;2. Key Laboratory of Networked Control System, Chinese Academy of Sciences, Shenyang 110016, China;3. University of Chinese Academy of Sciences, Beijing 100049, China;4. School of Electronic and Information Engineering, University of Science and TechnologyLiaoning, Anshan 114051, China)

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    Abstract:

    The stator current was first demodulated by the TeagerKaiser energy operator, thus this could effectively eliminate the effect of the supply component spectral leakage on extracting the speed harmonic component. Then the influence of SDTFT on the precision of speed estimation was analyzed, and a new method for mSDTFT frequency analysis used to speed estimation was proposed. The mSDTFT method largely reduced the computational overhead, especially for certain spectrum lines that need. The mSDTFT method also could improve the flexibility and effectiveness of spectral analysis. Experimental results showed that the proposed method could validity extract the speed harmonic component under different load conditions, and had high precision of speed estimation.

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SONG Xiangjin, HU Jingtao, ZHU Hongyu, ZHANG Jilong. Sensorless Speed Estimation for an Induction Motor Using mSDTFT[J]. Electric Machines & Control Application,2018,45(1):83-88, 93.

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  • Received:
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  • Online: December 17,2019
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