Abstract
In this paper, a sliding mode control technology based on sensorless adaptive estimation is proposed for a permanent magnet synchronous motor. Firstly, the motor position and speed is estimated by using an adaptive estimator based on model reference instead of the traditional mechanical sensor, where the stability of the estimating system is ensured by using Popov hyperstability. Then, the sliding mode control is designed to track the rotor position accurately. Finally, the simulation results are given to show the presented scheme, where, the estimation error is less than 1.5% and the tracing error of the rotor speed 0.7% under the sliding mode control scheme.
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Acknowledgment
This work was supported in part by the National Natural Science Foundation of China (U1813201, 62073297, 61973157); National Key Research and Development Project of China (2020YFB1712403); Fundamental Research Foundation of Zhongyuan University of Technology (K2020TD005).
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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Wang, L., Liang, T., Wen, S. (2021). Sliding Mode Adaptive Control for Sensorless Permanent Magnet Synchronous Motor. In: Fu, W., Xu, Y., Wang, SH., Zhang, Y. (eds) Multimedia Technology and Enhanced Learning. ICMTEL 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 387. Springer, Cham. https://doi.org/10.1007/978-3-030-82562-1_19
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DOI: https://doi.org/10.1007/978-3-030-82562-1_19
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