Skip to main content

Sensorless Speed Control of BLDC Motor using EKF with Computed Inputs and Disturbance

  • Conference paper
  • First Online:
Advanced Mechatronics Solutions

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 393))

Abstract

This paper presents the application of Extended Kalman Filter to the speed control of a BLDC motor. The inputs to EKF are computed based on the measured data as well as the disturbance (an external mechanical load). The nonlinear model of the system is used for the simulation and later implemented on the dSPACE HW to obtain experimental results. The resulting solution sufficiently control the speed from 50 rpm to the nominal speed with the presence of disturbance and with the low torque ripple.

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 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Gamazo, J.C., Vázquez, E., Gómez, J. Position and Speed Control of Brushless DC. Valladolid, Spain : University of Valladolid, 2010

    Google Scholar 

  2. TERZIC, B.; JADRIC, M.: Design and implementation of the extended Kalman filter for the speed and rotor position estimation of brushless DC motor. IEEE Transactions on Industrial Electronics. 2001

    Google Scholar 

  3. LENINE, D.; RAMI REDDY, B.; VIJAY KUMAR, S.: Estimation of speed and rotor position of BLDC motor using Extended Kalman filter. International Conference on Information and Communication Technology in Electrical Sciences. 2007

    Google Scholar 

  4. DHAOUADI, R.; MOHAN, N.; NORUM, L.: Design and implementation of an extended Kalman filter for the state estimation of a permanent magnet synchronous motor. IEEE Transactions on Power Electronics. 1991

    Google Scholar 

  5. Iizuka, K., Uzuhashi, H., Kano, M., Endo, T., Mohri, K., Microcomputer Control for Sensorless Brushless Motor, 1985

    Google Scholar 

  6. Sova, V.; Grepl, R.: Hardware in the Loop Simulation Model of BLDC Motor Taking Advantage of FPGA and CPU Simultaneous Implementation, 10th International Conference on Mechatronics, Brno, 2013, MECHATRONICS 2013: RECENT TECHNOLOGICAL AND SCIENTIFIC ADVANCES, p. 135-142

    Google Scholar 

  7. Grepl, R., Real-time control prototyping in MATLAB/simulink: Review of tools for research and education in mechatronics, IEEE ICM 2011, pp. 881-886

    Google Scholar 

  8. Sova V., Chalupa J., Grepl R.: Fault Tolerant BLDC Motor Control for Hall Sensors Failure, 21st International Conferenceon Automation & Computing, University of Strathclyde, Glasgow,UK, 2015 (prepared for publication)

    Google Scholar 

  9. Chalupa, J., Grepl, R., Sova, V., Design of Configurable DC Motor Power-Hardware-In-the-Loop Emulator for Electronic-Control-Unit Testing, 21st International Conferenceon Automation & Computing, University of Strathclyde, Glasgow,UK, 2015 (prepared for publication)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Grepl R. .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Z., H., V., S., R., G. (2016). Sensorless Speed Control of BLDC Motor using EKF with Computed Inputs and Disturbance. In: Jabłoński, R., Brezina, T. (eds) Advanced Mechatronics Solutions. Advances in Intelligent Systems and Computing, vol 393. Springer, Cham. https://doi.org/10.1007/978-3-319-23923-1_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-23923-1_7

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23921-7

  • Online ISBN: 978-3-319-23923-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics