Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Fuzzy Model-Based Fault Detection Method of EPB System for Varying Temperature

온도변화에 강인한 EPB 시스템의 퍼지모델 기반 고장검출 방법

  • 문병준 (경희대학교 전자공학과, 만도 중앙연구소) ;
  • 김동한 (경희대학교 전자공학과, 만도 중앙연구소) ;
  • 박종국 (경희대학교 전자공학과, 만도 중앙연구소)
  • Published : 2009.10.01
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Abstract

In this paper, a robust fault detection method for varying temperature based on fuzzy model is proposed. To develop a robust force estimation model, it needs temperature information because the output of force sensor is affected by a temperature variation. The nonlinear dynamic system, such as the parking force of the EPB (Electronic Parking Brake) system is necessary to have a higher order equation model. But, because of the calculation time, the higher order equation model is hard to be used in real application. In case of the lower order equation model, the result is not as accurate as acceptable. To solve this problem, the robust fuzzy model-based fault detection is developed. A proposed fault detection method for varying temperature is verified by HILS (hardware in the loop simulation).

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References

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