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Current and Force Sensor Fault Detection Algorithm for Clamping Force Control of Electro-Mechanical Brake

Electro-Mechanical Brake의 클램핑력 제어를 위한 전류 및 힘 센서 고장 검출 알고리즘 개발

  • 한광진 (한양대학교 일반대학원 자동차공학과) ;
  • 양이진 (한양대학교 일반대학원 자동차공학과) ;
  • 허건수 (한양대학교 미래자동차공학과)
  • Received : 2011.08.20
  • Accepted : 2011.09.25
  • Published : 2011.11.01

Abstract

EMB (Electro-Mechanical Brake) systems can provide improved braking and stability functions such as ABS, EBD, TCS, ESC, BA, ACC, etc. For the implementation of the EMB systems, reliable and robust fault detection algorithm is required. In this study, a model-based fault detection algorithm is designed based on the analytical redundancy method in order to monitor current and force sensor faults in EMB systems. A state-space model for the EMB is derived including faulty signals. The fault diagnosis algorithm is constructed using the analytical redundancy method. Observer is designed for the EMB and the fault detectability condition is examined based on the residual analysis. The performance of the proposed model-based fault detection algorithm is verified in simulations. The effectiveness of the proposed algorithm is demonstrated in various faulty cases.

Keywords

References

  1. R. Schwarz, R. Isermann, J. Bohm, J. Nell, and P. Rieth, "Modeling and control of an electromechanical disk brake," SAE International Congress and Exposition, Detroit, USA, SAE 980600, Feb. 1998.
  2. D. Schenk, R. Wells, and J. Miller, "Intelligent braking for current and future vehicles," SAE International Congress and Exposition, Detroit, USA, SAE 950762, Feb. 1995.
  3. N. A. Kelling and P. Leteinturier, "X-by-wire: opportunities, challenges and trends," 2003 SAE World Congress, Detroit, USA, SAE 2003-01-0113, Mar. 2003.
  4. C. Favre, "Fly-by-wire for commercial aircraft: the airbus experience," International Journal of Control, vol. 59, no. 1, pp. 139-157, 1994. https://doi.org/10.1080/00207179408923072
  5. T. B. Cunningham and R. D. Poyneer, "Sensor failure detection using analytical redundancy," Proc. of Joint Automatic Control Conference, San Francisco, USA, vol. 1, pp. 278-287, 1977.
  6. D. W. Novotny and T. A. Lipo, Vector Control and Dynamics of AC Drives, Oxford University Press, 1996.
  7. R. Isermann, Fault Diagnosis Systems-An Introduction from Fault Detection to Fault Tolerance, Springer, Berlin, 2006.
  8. K. Han, I. Kim, K. Huh, M. Kim, J. Kim, and K. Kim, "Fault detection algorithm design for electro-mechanical," 2009 SAE World Congress, Detroit, USA, SAE 2009-01-1219, Apr. 2009.
  9. I. Yang, Y. Kim, and D. Lee, "Actuator failure diagnosis and accommodation using sliding mode control for submersible vehicle," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 16, no. 7, pp. 661-667, Jul. 2010. https://doi.org/10.5302/J.ICROS.2010.16.7.661
  10. B. Moon, D. Kim, and C. Park, "Fuzzy model-based fault detection method of EPB system for varying temperature," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 15, no. 10, pp. 1009-1013, Oct. 2009. https://doi.org/10.5302/J.ICROS.2009.15.10.1009

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  1. A Clamping Force Performance Evaluation of the Electro Mechanical Brake Using PMSM vol.11, pp.11, 2018, https://doi.org/10.3390/en11112876