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Parameters Offline Identification of Induction Motor in High-Power Converter System

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Proceedings of the 3rd International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2017 (EITRT 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 482))

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Abstract

Currently the induction motor control system uses vector control widely. If the motor parameters adopted in vector control algorithm do not match with the actual motor parameters, there will be a significant impact on the control performance. Therefore, it is necessary to identify parameters before running an induction motor whose parameters are unknown and provide precise initial value for the online identification. This paper investigates a method with DC experiment, single phase AC short-circuit experiment and no-load experiment to identify the parameters of an induction motor. And the compensation of the output voltage which results from dead time, turn-on and turn-off delay and drop voltage of IGBTs and Diodes is studied in this paper. Identified results in both simulations and experiments are given to validate the method.

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References

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Acknowledgements

This work was supported by National Key R&D plan under Grant 2016YFB1200502-4 and 2017YFB1200802, Beijing Science and School level project 2016RC038.

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Authors and Affiliations

  1. CRRC Changchun Railway Vehicles CO., LTD, Changchun, China

    Miao Sha

  2. School of Electrical Engineering, Beijing Engineering Research Center of Electric Rail Transportation, Beijing Jiaotong University, 100044, Beijing, China

    Lailai Shen, Jie Chen & Jing Tang

Authors
  1. Miao Sha
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  2. Lailai Shen
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  3. Jie Chen
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  4. Jing Tang
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Corresponding author

Correspondence to Miao Sha .

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Editors and Affiliations

  1. School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China

    Limin Jia

  2. Beijing Jiaotong University, Beijing, China

    Yong Qin

  3. CRRC Zhuzhou Locomotive Co., Ltd., Zhuzhou, China

    Jianguo Suo

  4. CRRC Zhuzhou Institute Co., Ltd., Zhuzhou, China

    Jianghua Feng

  5. Beijing Jiaotong University, Beijing, China

    Lijun Diao

  6. University of Salford, Manchester, United Kingdom

    Min An

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© 2018 Springer Nature Singapore Pte Ltd.

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Sha, M., Shen, L., Chen, J., Tang, J. (2018). Parameters Offline Identification of Induction Motor in High-Power Converter System. 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_52

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  • DOI: https://doi.org/10.1007/978-981-10-7986-3_52

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7985-6

  • Online ISBN: 978-981-10-7986-3

  • eBook Packages: EnergyEnergy (R0)

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