Optimized Discrete Model Based Model Reference Adaptive System for Speed Sensorless Control

  • Shaobo Yin
  • Yuwen Qi
  • Yi Xue
  • Huaiqiang Zhang
  • Dongyi Meng
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 482)

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.

Keywords

Traction inverter Sensorless control Vector control Discrete model 

Notes

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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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Shaobo Yin
    • 1
  • Yuwen Qi
    • 3
  • Yi Xue
    • 2
  • Huaiqiang Zhang
    • 3
  • Dongyi Meng
    • 3
  1. 1.School of Electrical EngineeringBeijing Engineering Research Center for Electric Rail Transportation, Beijing Jiaotong UniversityBeijingChina
  2. 2.Shanghai Railway Administration Dispatch PlaceShanghaiChina
  3. 3.CRRC Changehun Railway Vehicles Co., LtdChangehunChina

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