Skip to main content
Log in

DC motor parameter identification using equation error method

  • Original Paper
  • Published:
Electrical Engineering Aims and scope Submit manuscript

Abstract

The paper deals with the identification of a direct current motor using experimentally measured transient processes of the motor starting and running-down at a no-load driving torque. The identification is based on the equation error method, which was chosen for its ability to work with noisy data. The major point of the method is that the data of the experimentally obtained measurements are reciprocally associated with the differential equations defining the analysed object. The paper discusses the process and the results of identification.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  1. Schröder D (2007) Elektrische Antriebe-Grundlagen. Springer, Berlin

    Google Scholar 

  2. Isermann R (2008) Mechatronische Systeme. Springer, Berlin

    Google Scholar 

  3. Tsai M-F, Quy TP, Wu B-F, Tseng C-S (2011) Model construction and verification of a BLDC motor using MATLAB/SIMULINK and FPGA control. In: Proceedings of international conference on industrial electronics and applications (ICIEA), Beijing, China, June 2011, pp 1797–1802. doi:10.1109/ICIEA.2011.5975884

  4. Rani BI, Tom AM (2008) Dynamic simulation of brushless DC drive considering phase commutation and backemf waveform for electromechanical actuator. In: Proceedings of international conference on ieee region 10 conference (TENCON), Hyderabad, India, November 2008, pp 19–21. doi:10.1109/TENCON.2008.4766608

  5. Dub M, Jalovecký R (2010) DC motor experimental parameter identification using the Nelder–Mead simplex method. In: Proceedings of international conference on power electronics and motion control conference (EPE-PEMC), Ohrid, Macedonia, September 2010, pp S4-9–S4-11. doi:10.1109/EPEPEMC.2010.5606854

  6. Tutunji TA (2005) DC motor identification using impulse response data. In: Proceedings of international conference on computer as a tool (EUROCON), Belgrade, Serbia, November 2005, pp 1734–1736. doi:10.1109/EURCON.2005.1630309

  7. Buechner S, Schreiber V, Amthor A et al. (2013) Nonlinear modeling and identification of a dc-motor with friction and cogging. In: IECON 2013-39th annual conference of the IEEE, pp 3621–3627. doi:10.1109/IECON.2013.6699711

  8. Schröder D (2001) Elektrische Antriebe-Regelung von Antriebssystemen. Springer, Berlin

    Book  Google Scholar 

  9. Wu W (2010) DC motor identification using speed step responses. In: Proceedings of international conference on American control conference (ACC). Baltimore, MD, USA, June–July 2010, pp 1937–1941. doi:10.1109/ACC.2010.5531349

  10. Armstrong B (1988) Friction: experimental determination, modeling and compensation. In: Proceedings of international conference on robotics and automation, Philadelphia, PA, USA, April 1988, pp 1422–1427. doi:10.1109/ROBOT.1988.12266

  11. Armstrong B, de Wit CC (1995) Friction modeling and compensation/ the control handbook. CRC Press, Boca Raton

    Google Scholar 

  12. Altpeter F (1999) Friction modeling, identification and compensation. Dissertation, École polytechnique fédérale de Lausanne

  13. Balaguer P (2013) Application of dimensional analysis in systems modeling and control design. The Institution of Engineering and Technology

  14. Kuneš J (2014) Similarity and modeling in science and engineering. Springer, Berlin

    Google Scholar 

  15. Raol JR, Girija G, Singh J (2004) Modelling and Parameter Estimation of Dynamic Systems. The Institution of Engineering and Technology

  16. Isermann R, Münchhof M (2011) Identification of Dynamic Systems. An Introduction with Applications. Springer

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Andrius Petrovas.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Petrovas, A., Pitrėnas, A. & Savickienė, Z. DC motor parameter identification using equation error method. Electr Eng 100, 415–423 (2018). https://doi.org/10.1007/s00202-017-0514-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00202-017-0514-6

Keywords

Navigation