Advertisement

Practical Issues of Sensorless Control for PMSM Drives

  • Gaolin Wang
  • Guoqiang Zhang
  • Dianguo Xu
Chapter

Abstract

The MTPA control is a simple and practical method to achieve high-efficiency operation of IPMSM. Recently, many MTPA control methods have been investigated to guarantee the minimum copper loss of IPMSM [1–6]. In most commercial drives, the MTPA control is achieved with the lookup tables or the polynomial fitting. The conventional MTPA control method is parameter dependent, and the effectiveness relies on the knowledge of the accurate motor parameters. The online parameter identification or offline parameter testing is necessary to achieve the robust MTPA operation [4–6]. Recently, the test signals injection method has been proposed, which can allow the MTPA trajectory to be learned online; however the signal injection method looks somewhat complex [1–3]. In most literatures, the online MTPA control methods used in IPMSM drive system should be installed with a position sensor for the control. Some key issues including the current ripple and torque transient should be carefully considered for the sensorless IPMSM drive.

References

  1. 1.
    G. Wang, Z. Li, G. Zhang, Y. Yu, D. Xu, Quadrature PLL-based high-order sliding-mode observer for IPMSM sensorless control with online MTPA control strategy. IEEE Trans. Energy Convers. 28(1), 214–224 (March 2013)CrossRefGoogle Scholar
  2. 2.
    S. Bolognani, R. Petrella, A. Prearo, L. Sgarbossa, Automatic tracking of MTPA trajectory in IPM motor drives based on AC current injection. IEEE Trans. Ind. Appl. 47(1), 105–114 (2011)CrossRefGoogle Scholar
  3. 3.
    S. Kim, Y. D. Yoon, S. K. Sul, K. Ide, Parameter independent maximum torque per ampere (MTPA) control of IPM machine based on signal injection. In Applied Power Electronics Conference and Exposition, 2010, pp. 103–108Google Scholar
  4. 4.
    C.B. Butt, M.A. Hoque, M.A. Rahman, Simplified fuzzy-logic-based MTPA speed control of IPMSM drive. IEEE Trans. Ind. Appl. 40(6), 1529–1535 (2004)CrossRefGoogle Scholar
  5. 5.
    A.R.I. Mohamed, T.K. Lee, Adaptive self-tuning MTPA vector controller for IPMSM drive system. IEEE Trans. Energy Convers 21(3), 636–644 (2006)CrossRefGoogle Scholar
  6. 6.
    C.T. Pan, S.M. Sue, A linear maximum torque per ampere control for IPMSM drives over full-speed range. IEEE Trans. Energy Convers. 20(2), 359–366 (2005)CrossRefGoogle Scholar
  7. 7.
    G. Wang, D. Xiao, G. Zhang, C. Li, X. Zhang, D. Xu, Sensorless control scheme of IPMSMs using high-frequency orthogonal square-wave voltage injection into stationary reference frame. IEEE Trans. Power Electron..  https://doi.org/10.1109/TPEL.2018.2844347 CrossRefGoogle Scholar
  8. 8.
    S. C. Yang, R. D. Lorenz. Surface permanent-magnet machine self-sensing at zero and low speeds using improved observer for position, velocity, and disturbance torque estimation. IEEE Trans. Ind. Appl. 48(1), 151–160 (January/February 2012)Google Scholar
  9. 9.
    B. Du, S. Wu, S. Han, S. Cui. Application of linear active disturbance rejection controller for sensorless control of internal permanent-magnet synchronous motor IEEE Trans. Ind. Electron. 63(5), 3019–3027 (May 2016)CrossRefGoogle Scholar
  10. 10.
    G. Wang, R. Liu, N. Zhao, D. Ding, D. Xu, Enhanced linear ADRC strategy for HF pulse voltage signal injection based sensorless IPMSM drives. IEEE Trans. Power Electron..  https://doi.org/10.1109/TPEL.2018.2814056 CrossRefGoogle Scholar
  11. 11.
    J. Han. From PID to active disturbance rejection control. IEEE Trans. Ind. Electron. 56(3), 900–906, (March 2009)CrossRefGoogle Scholar
  12. 12.
    Z. Gao. Scaling and bandwidth-parameterization based controller tuning. Proc. 2003 Am. Control Conf. 6, 4989–4996 (June 2003)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Gaolin Wang
    • 1
  • Guoqiang Zhang
    • 1
  • Dianguo Xu
    • 1
  1. 1.Harbin Institute of TechnologyHarbinChina

Personalised recommendations