Improving the model of Permanent Magnet Brushed DC Motor Used in Automotive Industry for Sensorless Speed Estimation

Document Type : Original Article

Authors

1 PhD student, Faculty of Electrical Engineering, Sharif University of Technology, Tehran, Iran

2 Master's degree, research and development team, Cruise Manufacturing Industries, Tehran, Iran

Abstract

Permanent magnet brushed DC motors are widely used in the automotive industry due to their low cost and simple speed control. Sensorless speed and position estimation are interesting topics for car manufacturers and researchers. Usually, the armature current ripples are used for senseless speed estimation. Therefore, this paper aims to present a model to precisely predict the behavior of this motor, especially in the prediction of armature current ripples. First off, the previous models of DC motor are studied, and then a new test is proposed for measuring armature resistance to increase the accuracy of the model. Besides, the effect of cogging torque was investigated and the model was modified to consider the cogging torque. Finite element analysis used for different studies and verifying the performance of the proposed improved model. Comparison between the results obtained from the proposed model, previous model, and finite element method shows the superiority of the proposed model.

Keywords

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References

[1]    P. Radcliffe, and D. Kumar, “Sensorless speed measurement for brushed DC motors, ” IET Power Electron., vol. 8, no. 11, pp. 2223-2228, 2015.
[2]    E. Vazquez-Sanchez, J. Sottile, and J. Gomez-Gil, “A Novel Method for Sensorless Speed Detection of Brushed DC Motors,” Appl. Sci., vol. 7, no. 1, pp. 1-15, 2017.
[3]    J. P. Whinnery, “Motor speed-based anti-pinch control apparatus and method with rough road condition detection and compensation,” U.S. Patent, no. WO2003102338A2, Jan. 13, 2004.
[4]    M. G. Kliffken, H. Becker, H. Lamm, H. Prüsell, and J. Wolf, “Obstacle Detection for Power-Operated Window-Lift and Sunroof Actuation Systems”, SAE Tech. Paper Series, pp. 1-10, 2001.
[5]    W. Ra, H. Lee, J. B. Park, and T. Yoon, “Practical Pinch Detection Algorithm for Smart Automotive Power Window Control Systems,” IEEE Trans. Ind. Electron., vol. 55, no. 3, pp. 1376-1384, March 2008.
[6]    Y. Wang and Y. Qiu, “A Low Cost Anti-Pinch Control System for Electrical Window,” in Int. Conf. Inf. Comput., pp. 385-387, 2011.
[7]    Y. Zhang, Y. Zhang, Z. Ai, and Y. Feng, “Study on Electric Sunroof Pinch Detection of Cars Based on Model Reference Adaptive Cholesky Decomposition Filter,” IEEE Trans. Transp. Electrif., vol. 4, no. 1, pp. 190-201, March 2018.
[8]    W. Ra, H. Lee, T. Yoon and J. Park, “Real-Time Robust Pinch Detection Algorithm for Automobile Applications,” in IEEE Intell. Transp. Syst. Conf. (ITSC), pp. 325-330, 2006.
[9]    Y. Xu, C. Li and F. Chen, “A Design of Window Lifter System Based on Current Detection,” in Chin. Autom. Congr. (CAC), pp. 813-817, 2019.
[10]  M. Vidlak, P. Makys and M. Stano, “Comparison between model based and non-model based sensorless methods of brushed DC motor,” in Transp. Res. Proc., vol. 55, pp. 911-918, 2021.
[11]  Q. Zhang, B. Wen, and Y. He, “Rotational speed monitoring of brushed DC motor via current signal,” Measurement, vol. 184, pp. 1-11, 2021.
[12]  J. M. Knezevi, “Low-Cost Low-Resolution Sensorless Positioning of DC Motor Drives for Vehicle Auxiliary Applications,” IEEE Trans. Veh. Technol., vol. 62, no. 9, pp. 4328-4335, 2013.
[13]  E. Vazquez-Sanchez, J. Gomez-Gil, J. C. Gamazo-Real, and J. F. Diez-Higuera, “A New Method for Sensorless Estimation of the Speed and Position in Brushed DC Motors Using Support Vector Machines,” IEEE Trans. Ind. Electron., vol. 59, no. 3, pp. 1397-1408, March 2012. 
[14]  F. Genduso, R. Miceli, C. Rando, and G. R. Galluzzo, “Back EMF sensorless-control algorithm for high-dynamic performance PMSM,” IEEE Trans. Ind. Electron., vol. 57, no. 6, pp. 2092–2100, Jun. 2010. 
[15]  K. Ohishi, Y. Nakamura, Y. Hojo, and H. Kobayashi, “High-performance speed control based on an instantaneous speed observer considering the characteristics of a DC chopper in a low speed range,” Electr. Eng. Jpn., vol. 130, no. 3, pp. 77-87, Feb. 2000.
[16]  “TIDA-01421: Automotive Brushed-Motor Ripple Counter Reference Design for Sensorless Position Measurement,” Texas Instruments, 2018. [Online]. Available: https://www.ti.com/tool/TIDA-01421.
[17]  A. Abacan, M. L. Canada and M. Gomez, “Sensorless Position Control of Brushed DC Motor Using Ripple Counting Technique,” Microchip Technology Inc., 2019. [Online]. Available: http://ww1.microchip.com/downloads/en/AppNotes/Sensorless-PositionControl-of-Brushed-DC-Motor-Using-Ripple-Counting-Technique-00003049A.pdf.
[18]  M. Vidlak, L. Gorel, P. Makys, and M. Stano, “Sensorless Speed Control of Brushed DC Motor Based at New Current Ripple Component Signal Processing,” Energies., vol. 14, no. 17, pp. 1-25, 2021.
[19]  P. C. Sen, Principles of Electric Machines and Power Electronics, 3rd ed., USA: Wiley, 2013.
[20]  H. Saneie, and Z. Nasiri-Gheidari, “Performance Analysis of Outer-Rotor Single-Phase Induction Motor Based on Magnetic Equivalent Circuit,” IEEE Trans. Ind. Electron., vol. 68, no. 2, pp. 1046-1054, Feb. 2021.
[21] S. T. Boroujeni, and M. H. Hajjare, “Optimization of Cogging Torque in Surface Mounted PM Machines using PM Segmetation,” J. Appl. Electromagn., vol. 2, no. 4, pp. 31-38, 2016 (In Persian).
Applied Electromagnetics
Volume 11, Issue 1 - Serial Number 26
Serial No. 26, Spring & Summer
June 2023
Pages 51-59

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History

  • Receive Date: 24 November 2021
  • Revise Date: 28 March 2022
  • Accept Date: 06 July 2022
  • Publish Date: 22 May 2023

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