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http://dx.doi.org/10.5302/J.ICROS.2009.15.10.1009

Fuzzy Model-Based Fault Detection Method of EPB System for Varying Temperature  

Moon, Byoung-Joon (경희대학교 전자공학과, 만도 중앙연구소)
Kim, Dong-Han (경희대학교 전자공학과, 만도 중앙연구소)
Park, Chong-Kug (경희대학교 전자공학과, 만도 중앙연구소)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.15, no.10, 2009 , pp. 1009-1013 More about this Journal
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).
Keywords
EPB (Electronic Parking Brake); fault detection; fuzzy model; sensor fault; force sensor;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
Times Cited By SCOPUS : 1
연도 인용수 순위
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