Skip to main content

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1135))

  • 113 Accesses

Abstract

Initial rotor position detection is important for the control of PMSM (Permanent Magnet Synchronous Motor) in rail transit. One method is proposed to detect initial rotor position at standstill based on peak dc-link current comparison in this paper. Initial rotor position detection with resolution of 30° is achieved by injecting four pulse voltages into the motor windings. This method is suitable for the application that rotor keeps at standstill during the starting process. One SPMSM is used to validate the proposed method.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 219.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 279.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Anayi, F.J., Al Ibraheemi, M.M.A.: Estimation of rotor position for permanent magnet synchronous motor at standstill using sensorless voltage control scheme. IEEE/ASME Trans. Mechatron. 25(3), 1612–1621 (2020)

    Google Scholar 

  2. Xu, P., Zhu, Z.Q.: Initial rotor position estimation using zero-sequence carrier voltage for permanent-magnet synchronous machines. IEEE Trans. Ind. Electron. 64(1), 149–158 (2017)

    Google Scholar 

  3. Shuang, B., Zhu, Z.-Q.: A novel sensorless initial position estimation and startup method. IEEE Trans. Ind. Electron. 68(4), 2964–2975 (2021)

    Article  Google Scholar 

  4. Champa, P., Somsiri, P., Wipasuramonton, P., Nakmahachalasint, P.: Initial rotor position estimation for sensorless brushless DC drives. IEEE Trans. Ind. Appl. 45(4), 1318–1324 (2009)

    Google Scholar 

  5. Wu, X., Zhu, Z.Q., Wu, Z.: A novel rotor initial position detection method Utilizing DC-link voltage sensor. IEEE Trans. Ind. Appl. 56(6), 6486–6495 (2020)

    Google Scholar 

  6. Zhang, S., Kang, J., Siyuan, M.: Initial rotor position detection for permanent magnet synchronous motor based on identical width voltage pulse injection. Proc. CSEE 40(19), 6085–6092 (2020). (in Chinese)

    Google Scholar 

  7. Nakashima, S., Inagaki, Y., Miki, I.: Sensorless initial rotor position estimation of surface permanent-magnet synchronous motor. IEEE Trans. Ind. Appl. 36(6), 1598–1603 (2000)

    Google Scholar 

  8. Lee, W.-J., Sul, S.-K.: A new starting method of BLDC motors without position sensor. IEEE Trans. Ind. Appl. 42(6), 1532–1538 (2006)

    Google Scholar 

  9. Boussak, M.: Implementation and experimental investigation of sensorless speed control with initial rotor position estimation for interior permanent magnet synchronous motor drive. IEEE Trans. Power Electron. 20(6), 1413–1422 (2005)

    Google Scholar 

  10. Tursini, M., Petrella, R., Parasiliti, F.: Initial rotor position estimation method for PM motors. IEEE Trans. Ind. Appl. 39(6), 1630–1640 (2003)

    Google Scholar 

  11. Wu, X., Zhu, Z., Wu, Z.: A rotor initial position estimation method for surface-mounted permanent magnet synchronous machine. IEEE Trans. Energy Convers. 36(3), 2012–2024 (2021)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Peng Chen .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 Beijing Paike Culture Commu. Co., Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Chen, P., Ma, R. (2024). Initial Rotor Position Detection Based on Peak Dc-Link Current Comparison for SPMSM. In: Jia, L., Qin, Y., Yang, J., Liu, Z., Diao, L., An, M. (eds) Proceedings of the 6th International Conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT) 2023. EITRT 2023. Lecture Notes in Electrical Engineering, vol 1135. Springer, Singapore. https://doi.org/10.1007/978-981-99-9307-9_46

Download citation

  • DOI: https://doi.org/10.1007/978-981-99-9307-9_46

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-9306-2

  • Online ISBN: 978-981-99-9307-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics