Vector Control of Permanent Magnet Synchronous Motor Based on MRAS Method

Authors

  • X. Y. Xu
  • Y. Z. Li

DOI:

https://doi.org/10.21152/1750-9548.16.2.119

Abstract

In recent years, the application range of electric energy in modern industry has gradually expanded. Permanent magnet synchronous motor has the characteristics of high efficiency and energy saving, and has obvious advantages in traction application. In order to achieve good vector control of permanent magnet synchronous motor in the full speed range, Research on model reference adaptive system (MRAS) and pulsating high frequency injection method to construct the permanent magnet synchronous motor vector control system, and combined with the flux weakening control algorithm to control the motor under the condition of limited inverter output, so as to realize the sensorless vector control of the motor in the full speed range. The difference between the estimated value of the algorithm and the actual value is compared on the actual experimental platform to verify the feasibility of the control algorithm. The experimental results show that, Under medium and high-speed working conditions, the motor speed and rotor position tracking accuracy of MRAS algorithm is high, and the tracking error is less than 0.01rad. The pulsating high-frequency injection method can accurately track the permanent magnet synchronous motor under low-speed working conditions, the speed error is less than 1n / R / min, and the rotor position error is less than 0.03rad. The static and dynamic performance of the control system is good, It can better deal with the sudden change of motor load. Using MRAS algorithm and pulsating high frequency injection method to control permanent magnet synchronous motor in full speed range is of great significance to improve the speed control performance of permanent magnet synchronous motor.

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Published

2022-06-27

How to Cite

Xu, X. Y., & Li, Y. Z. (2022). Vector Control of Permanent Magnet Synchronous Motor Based on MRAS Method. The International Journal of Multiphysics, 16(2), 119-135. https://doi.org/10.21152/1750-9548.16.2.119

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Section

Articles