Journal of Power Electronics

The Korean Institute of Power Electronics (전력전자학회)
권호 표지
DOI QR코드

DOI QR Code

Initial rotor position and inductance estimation of PMSMs utilizing zero-current-clamping effect

  • Wang, Jing (School of Automation, Nanjing University of Science and Technology) ;
  • Yan, Jianhu (School of Automation, Nanjing University of Science and Technology) ;
  • Ying, Zhanfeng (School of Energy and Power Engineering, Nanjing University of Science and Technology)
  • Received : 2021.06.29
  • Accepted : 2021.10.28
  • Published : 2022.01.20
⟨ Previous Next ⟩

Abstract

The high-frequency (HF) signal injection method can be used for estimating the initial rotor position and the d-q axis inductances of a permanent magnet synchronous machine (PMSM). Low amplitude signal injection is beneficial to keep the rotor stationary and to reduce HF noise. However, it seriously suffers from dead-time. In this paper, the influence of dead-time on the injected signal is analyzed, and a method for estimating the initial rotor position and d-q axis inductances of a PMSM is proposed by utilizing the zero-current-clamping (ZCC) effect. Signal injection is carried out in the three-phase stationary reference frame. Therefore, the analysis of the dead-time effect can be simplified, and the initial rotor position and the d-q axis inductances can be simultaneously estimated. First, the ZCC effect is analyzed in detail when two-phase power switches operate at the same duty ratio. A linear relationship is then built between the injected HF voltage and the current variation. Based on this, the algorithms of the parameter estimations are derived. Moreover, to improve the estimation accuracy, the least square method is used to reduce the influence of the measured errors caused by current sensors. Finally, a PMSM driven experimental system is built and tested to verify the proposed method.

Keywords

Acknowledgement

This work was supported in part by the National Natural Science Foundation of China under Grant 51607091.

References

  1. Zhu, Z.Q., Liang, D., Liu, K.: Online parameter estimation for permanent magnet synchronous machines: an overview. IEEE Access. 9, 59059-59084 (2021) https://doi.org/10.1109/ACCESS.2021.3072959
  2. Liu, X., Chen, H., Zhao, J., Belahcen, A.: Research on the performances and parameters of interior PMSM used for electric vehicles. IEEE Trans. Ind. Electron. 63(6), 3533-3545 (2016) https://doi.org/10.1109/TIE.2016.2524415
  3. Degner, M.W., Lorenz, R.D.: Using multiple saliencies for the estimation of flux, position, and velocity in AC machines. IEEE Trans. Ind. Appl. 34(5), 1097-1104 (1998) https://doi.org/10.1109/28.720450
  4. Jang, J.-H., Sul, S.-K., Ha, J.I., Ide, K., Sawamure, M.: Sensorless drive of surface-mounted permanent-magnet motor by high-frequency signal injection based on magnetic saliency. IEEE Trans. Ind. Appl. 39(4), 1031-1039 (2003) https://doi.org/10.1109/TIA.2003.813734
  5. Yoon, S.-C., Kim, J.-M.: Sensorless control of a PMSM at low speeds using high frequency voltage injection. J. Power Electron. 5(1), 11-19 (2005)
  6. Shuang, B., Zhu, Z.-Q.: A novel sensorless initial position estimation and startup method. IEEE Trans. Ind. Electron. 68(4), 2964-2975 (2021) https://doi.org/10.1109/TIE.2020.2977551
  7. Kim, S., Im, J., Song, E., Kim, R.: A new rotor position estimation method of IPMSM using all-pass filter on high-frequency rotating voltage signal injection. IEEE Trans. Ind. Electron. 63(10), 6499-6509 (2016) https://doi.org/10.1109/TIE.2016.2592464
  8. Bi, G., Wang, G., Zhang, G., Zhao, N., Xu, D.: Low-noise initial position detection method for sensorless permanent magnet synchronous motor drives. IEEE Trans. Power Electron. 35(12), 13333-13344 (2020) https://doi.org/10.1109/tpel.2020.2995961
  9. Li, H., Zhang, X., Yang, S., Liu, S.: Unifed graphical model of high-frequency signal injection methods for PMSM sensorless control. IEEE Trans. Ind. Electron. 67(6), 4411-4421 (2020) https://doi.org/10.1109/tie.2019.2924863
  10. Wang, G., et al.: Self-commissioning of permanent magnet synchronous machine drives at standstill considering inverter nonlinearities. IEEE Trans. Power Electron. 29(12), 6615-6627 (2014) https://doi.org/10.1109/TPEL.2014.2306734
  11. Ben-Brahim, L.: On the compensation of dead time and zero-current crossing for a PWM-inverter-controlled AC servo drive. IEEE Trans. Ind. Electron. 51(5), 1113-1117 (2004) https://doi.org/10.1109/TIE.2004.834940
  12. Liu, K., Zhu, Z.Q., Zhang, Q., Zhang, J.: Infuence of nonideal voltage measurement on parameter estimation in permanent-magnet synchronous machines. IEEE Trans. Ind. Electron. 59(6), 2438-2447 (2012) https://doi.org/10.1109/TIE.2011.2162214
  13. Wang, G., Wang, Y., Ding, L., Yang, L., Ni, R., Xu, D.: Harmonic analysis of the effects of inverter nonlinearity on the offline inductance identification of pmsms using high frequency signal injection. J. Power Electron. 15(6), 1567-1576 (2015) https://doi.org/10.6113/JPE.2015.15.6.1567
  14. Qiu, T., Wen, X., Zhao, F.: Adaptive-linear-neuron-based dead-time effects compensation scheme for PMSM drives. IEEE Trans. Power Electron. 31(3), 2530-2538 (2016) https://doi.org/10.1109/TPEL.2015.2427914
  15. Kim, S., Lee, W., Rho, M., Park, S.: Effective dead-time compensation using a simple vectorial disturbance estimator in PMSM drives. IEEE Trans. Ind. Electron. 57(5), 1609-1614 (2010) https://doi.org/10.1109/TIE.2009.2033098
  16. Park, Y., Sul, S.-K.: A novel method utilizing trapezoidal voltage to compensate for inverter nonlinearity. IEEE Trans. Power Electron. 27(12), 4837-4846 (2012) https://doi.org/10.1109/TPEL.2012.2192451