Load and Load Dependent Friction Identification and Compensation of Electronic Non-Circular Gear Brake System

  • Heeram Park
  • Seibum Choi


Control of the electronic non-circular gear brake (ENGB) involves challenges, including the non-linear variation of loads and the effect of friction, which is dependent upon load. The controller must be designed based on modelling information in order to enhance control performance. This study performed model identification of the ENGB system using a DOB-based model identification method. By employing the nearest neighbor search method, the even-odd disturbance was separated without the influence of hysteresis even in situations with low control precision. The accuracy of the resulting ENGB system model was validated through experiments. The self-energizing effect due to friction between the brake disc and pad within the mechanical system was also validated.

Key words

Load dependent friction Friction model identification EMB Electronic non-circular gear brake 


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  1. Balogh, L., Streli, T., Nemeth, H. and Palkovics, L. (2007). Modelling and simulating of self-energizing brake system. Int. J. Vehicle Mechanics and Mobility 44, 1, 368–377.Google Scholar
  2. Fox, J., Roberts, R., Baier-Welt, C., Ho, L. M., Lacraru, L. and Gombert, B. (2007). Modeling and control of a single motor electronic wedge brake. SAE Paper No. 2007-01-0866.CrossRefGoogle Scholar
  3. Hartmann, H., Schautt, M., Pascucci, A. and Gombert, B. (2002). eBrake® -The mechatronic wedge brake. SAE Paper No. 2002-01-2582.CrossRefGoogle Scholar
  4. Ho, L. M., Roberts, R., Hartmann, H. and Gombert, B. (2006). The electronic wedge brake -EWB. SAE Paper No. 2006-01-3196.CrossRefGoogle Scholar
  5. Kim, S., Choi, S. and Kim, J. (2008). The design of electronic noncircular gear brake and adaptation scheme for pad friction-coefficient estimation. KSAE Annual Conf. Proc., Korean Society of Automotive Engineers, 1793–1801.Google Scholar
  6. Kim, M., Jung, J., Chun, J. and Kim, J. (2009a). Control of an electromechanical brake for hybrid brake system. KSAE Annual Conf. Proc., Korean Society of Automotive Engineers, 1445–1450.Google Scholar
  7. Kim, J. G., Kim, M. J., Kim, J. K. and Noh, K. H. (2009b). Developing of electronic wedge brake with cross wedge. SAE Paper No. 2009-01-0856.CrossRefGoogle Scholar
  8. Roberts, R., Schautt, M., Hartmann, H. and Gombert, B. (2003). Modelling and validation of the mechatronic wedge brake. SAE Paper No. 2003-01-3331.CrossRefGoogle Scholar
  9. Roberts, R., Gombert, B., Hartmann, H., Lange, D. and Schautt, M. (2004). Testing the mechatronic wedge brake. SAE Paper No. 2004-01-2766.CrossRefGoogle Scholar
  10. Saric, S., Bab-Hadiashar, A. and Hoseinnezhad, R. (2008). Clamp-force estimation for a brake-by-wire system: A sensor-fusion approach. IEEE Tans. Vehicular Technology 57, 2, 778–786.CrossRefGoogle Scholar
  11. Schwarz, R., Isermann, R., Böhm, J., Nell, J. and Rieth, P. (1999). Clamping force estimation for a brake-by-wire actuator. SAE Paper No. 1999-01-0482.CrossRefGoogle Scholar
  12. Semsey, Á. and Roberts, R. (2006). Simulation and development of electronic wedge brake. SAE Paper No. 2006-01-0298.CrossRefGoogle Scholar
  13. Xiang, W., Richardson, P. C., Zhao, C. and Mohammad, S. (2008). Automobile brake-by-wire control system design and analysis. IEEE Trans. Vehicular Technology 57, 1, 138–145.CrossRefGoogle Scholar

Copyright information

© The Korean Society of Automotive Engineers and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Mechanical EngineeringKAISTDaejeonKorea

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