Abstract
In this paper, an improved inductive motor model reference adaptive system (MRAS) is proposed based on an optimized full-order adaptive observer. By using of an optimized discrete model of induction motor, the proposed method can be applied to the condition of low switching frequency. The rotor speed is calculated by an adaptive scheme and used as the feedback signal for vector control. The simulation results show that the modified version of MRAS enables accurate and stable performance of speed sensorless control.
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Acknowledgements
This work was supported by the China National Science and Technology Support Program under Grant 2016YFB1200502-04 and the Fundamental Research Funds for the Central Universities under Grant 2016JBM058 and Grant 2016RC038.
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Yin, S., Qi, Y., Xue, Y., Zhang, H., Meng, D. (2018). Optimized Discrete Model Based Model Reference Adaptive System for Speed Sensorless Control. In: Jia, L., Qin, Y., Suo, J., Feng, J., Diao, L., An, M. (eds) Proceedings of the 3rd International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2017. EITRT 2017. Lecture Notes in Electrical Engineering, vol 482. Springer, Singapore. https://doi.org/10.1007/978-981-10-7986-3_20
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DOI: https://doi.org/10.1007/978-981-10-7986-3_20
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