Skip to main content

Based on an Improved Sliding Mode Observer for Position Estimation of PMSM

  • Conference paper
  • First Online:
Proceedings of SAE-China Congress 2016: Selected Papers (SAE-China 2016)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 418))

Included in the following conference series:

  • 1853 Accesses

Abstract

To reduce the chattering problem resulted from signum function in conventional sliding mode observer (SMO), a sensorless speed controller based on an improved SMO is proposed for permanent magnet synchronous motor (PMSM), where signum function is substituted for sigmoid function and the stability of the proposed SMO is verified using the Lyapunov method, the influence of different tilt parameters on position estimation is analyzed as well. To reduce phase delay in position estimation in conventional SMO, a new observer which has the structure of an extended Kalman filter is designed for back electromotive force estimation, which is expected to decrease estimation error of improved SMO. Based on improved SMO position sensorless control is modeled in MATLAB/SIMULINK, and result of simulation demonstrates correctness of improved SMO.

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

Access this chapter

Institutional subscriptions

References

  1. Pillay P, Krishnan R (1991) Application characteristics of permanent magnet synchronous and brushless dc motor for servo drive. IEEE Trans Ind Appl 27(5):986–996

    Article  Google Scholar 

  2. Zhou S, Jia W, Zhong J (2015) Startup strategy and simulation of vehicle brushless DC motor. Chin J Automot Eng 5(2):151–152

    Google Scholar 

  3. Miao X, Li Y, Xiao X (2007) Speed sensorless of PMSM with high-frequency signal injection. Electr Drive 37(3):11–14

    Google Scholar 

  4. Zhao D, Zhang C, Hao L (2006) A robust sliding-mode control strategy of a speed sensorless induction machine. In: Proceedings of the CSEE, vol 26, Issue no 22, pp 122–127

    Google Scholar 

  5. Zhou S, Wang M, Chen F (2012) Torque servo control for vehicle BLDCM based on feedback linearization. J Wuhan Univ Sci Technol 35(5):392–396

    Google Scholar 

  6. Zhu X, Li Y, Zhang J (2010) Senorless control of PMSM based on a novel sliding mode observer. Power Syst Prot Control 38(13):6–10

    Google Scholar 

  7. Pisano A, Davila A, Fridman L, Usai E (2008) Cascade control of PM DC drives via second-order sliding-mode technique. IEEE Trans Power Electron 55(11):3846–3854

    Google Scholar 

  8. Lu W, Hu Y, Huang W, Chu J (2008) A hybrid approach of Sensorless rotor position self-sensing for brushless DC motor. Trans China Electrotechnical Soc 23(9):70–75

    Google Scholar 

  9. Veluvolu KC, Sanda YC (2009) High-gain observers with sliding mode for state and unknown input estimations. IEEE Trans Power Electron 56(9):3386–3393

    Google Scholar 

  10. Wang H, Xiao F, Ma W et al (2011) Sensorless control of PMSM based on sliding mode observer and software phase locked-loop. Electric Mach Control 15(1):49–54

    Google Scholar 

  11. Lu W, Hu Y, Du X et al (2010) Sensorless vector control using a novel sliding mode observer for PMSM speed control system. In: Proceedings of the CSEE, vol 30, Issue no 33, pp 78–83

    Google Scholar 

  12. Elbuluk M, Li C (2003) Sliding mode observer for wide-speed sensorless control of PMSM drives. Industry Applications Conference, 2003. 38th IAS Annual Meeting

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Daxiang Zhu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer Nature Singapore Pte Ltd.

About this paper

Cite this paper

Zhou, S., Zhu, D., Hu, Z. (2017). Based on an Improved Sliding Mode Observer for Position Estimation of PMSM. In: Proceedings of SAE-China Congress 2016: Selected Papers. SAE-China 2016. Lecture Notes in Electrical Engineering, vol 418. Springer, Singapore. https://doi.org/10.1007/978-981-10-3527-2_10

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-3527-2_10

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3526-5

  • Online ISBN: 978-981-10-3527-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics