Skip to main content
SpringerLink
Log in

Reduce Estimated Speed Ripple and Improve Sensorless PMSM Speed Control Using Advanced Fuzzy MRAS Algorithm

  • Conference paper
  • First Online:
Proceedings of the International Conference on Advanced Mechanical Engineering, Automation, and Sustainable Development 2021 (AMAS2021) (AMAS 2021)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

  • 938 Accesses

Abstract

Sensorless PMSM control algorithms are interested in developing in order to improve operational efficiency and reduce installation space. Many sensorless control methods have been proposed, with numerous significant results have been obtained in recent years. Sensorless control methods mainly compare the actual value with the estimated input current on the stator windings as to adjust the rotor speed. Chattering is inevitable and degrades PMSM speed control quality with respect to being used for closed-loop control loops. This study proposes an advanced Fuzzy Model Reference Adaptive System (Fuzzy MRAS) algorithm to control PMSM rotor speed combined with an angular position estimator to minimize the chattering phenomenon. Proposed fuzzy MRAS algorithm can minimize chattering by allowing error removal between actual and calculated stator currents, thereby improving the quality of rotor speed regulation. The superiority of proposed control method is demonstrated via compared with conventional MRAS and fuzzy control techniques through simulation PMSM speed models using MatLab/Simulink software.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight 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. Chi, S., Zhang, Z., et al.: Sliding-mode sensorless control of direct-drive pm synchronous motors for washing machine applications. IEEE Trans. Ind. Appl. 45(2), 582–590 (2009)

    Article  Google Scholar 

  2. Jin, S., Wang, B., Zhang, Y., Liu, S., Jin, W.: Improved sliding-mode observer for sensorless control of high speed permanent magnet synchronous motor. In: 2020 23rd International Conference on Electrical Machines and Systems (ICEMS), pp. 1918–1923 (2020)

    Google Scholar 

  3. Liu, X., Zhang, G., Mei, L., Wang, D.: Speed estimation with parameters identification of PMSM based on MRAS. J. Control Autom. Electr. Syst. 27(5), 527–534 (2016)

    Article  Google Scholar 

  4. Kojabadi, H.M., et al.: MRAS-based adaptive speed estimator in PMSM drives. In: 9th IEEE International Workshop on Advanced Motion Control, vol. 2006, no. 1, pp. 569–572 (2006)

    Google Scholar 

  5. Luo, X., Tang, Q., Shen, A., Zhang, Q.: PMSM sensorless control by injecting HF pulsating carrier signal into estimated fixed-frequency rotating reference frame. IEEE Trans. Ind. Electron. 63(4), 2294–2303 (2016)

    Article  Google Scholar 

  6. Xie, G., et al.: Minimum-voltage vector injection method for sensorless control of PMSM for low-speed operations. IEEE Trans. Power Electron. 31(2), 1785–1794 (2016)

    Article  Google Scholar 

  7. Wang, Q., Wang, S., Chen, C.: Review of sensorless control techniques for PMSM drives. IEEJ Trans. Electr. Electron. Eng. 14(10), 1543–1552 (2019)

    Article  Google Scholar 

  8. Kojabadi, H.M., Chang, L.: Sensorless PMSM drive with MRAS-based adaptive speed estimator. In: 37th IEEE Power Electronics Specialists Conference, pp. 1–5 (2006)

    Google Scholar 

  9. Khlaief, A., Boussak, M., Châari, A.: A MRAS-based stator resistance and speed estimation for sensorless vector controlled IPMSM drive. Electr. Power Syst. Res. 108, 1–15 (2014)

    Article  Google Scholar 

  10. Iqbal, A., Abu-Rub, H., Nounou, H.: Adaptive fuzzy logic-controlled surface mount permanent magnet synchronous motor drive. Syst. Sci. Control Eng. 2(1), 465–475 (2014)

    Article  Google Scholar 

Download references

Acknowledgements

We acknowledge the support of time and facilities from Ho Chi Minh City University of Technology (HCMUT), VNU-HCM for this study.

Author information

Authors and Affiliations

  1. Industrial University of Ho Chi Minh City (IUH), No. 12 Nguyen Van Bao, Ward 4, Go Vap District, Ho Chi Minh City, Vietnam

    Pham Quoc Khanh

  2. Ho Chi Minh City University of Technology (HCMUT), 268 Ly Thuong Kiet Street, District 10, Ho Chi Minh City, Vietnam

    Ho Pham Huy Anh

  3. Vietnam National University Ho Chi Minh City (VNU-HCM), Linh Trung Ward, Thu Duc District, Ho Chi Minh City, Vietnam

    Ho Pham Huy Anh

Authors
  1. Pham Quoc Khanh
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ho Pham Huy Anh
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Pham Quoc Khanh .

Editor information

Editors and Affiliations

  1. Vietnam Association for Science Editing, Hanoi University of Science and Technology, Hanoi, Vietnam

    Banh Tien Long

  2. Department of Materials Science and Engineering, Inha University, Nam-gu, Korea (Republic of)

    Hyung Sun Kim

  3. School of Mechanical Engineering, Nagaoka University of Technology, Nagaoka, Japan

    Kozo Ishizaki

  4. Hanoi University of Science and Technology, Hanoi, Vietnam

    Nguyen Duc Toan

  5. Southern Federal University, Rostov-on-Don, Russia

    Ivan A. Parinov

  6. Department of Mechanical Engineering, Korea Maritime and Ocean University, Busan, Korea (Republic of)

    Yun-Hea Kim

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Khanh, P.Q., Anh, H.P.H. (2022). Reduce Estimated Speed Ripple and Improve Sensorless PMSM Speed Control Using Advanced Fuzzy MRAS Algorithm. In: Long, B.T., Kim, H.S., Ishizaki, K., Toan, N.D., Parinov, I.A., Kim, YH. (eds) Proceedings of the International Conference on Advanced Mechanical Engineering, Automation, and Sustainable Development 2021 (AMAS2021). AMAS 2021. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-99666-6_117

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-99666-6_117

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-99665-9

  • Online ISBN: 978-3-030-99666-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation