A Fault Detection Method for an Automotive Magneto-Rheological Damper

Abstract Oil leakage is a common fault in commercial MR damper. The monitoring of the suspension transmissibility, magnitude ratio between the sprung and unsprung mass accelerations, allows to detect a fault in a damper. Two proposed approaches: Force sensor based ( FT R ) and Accelerometers sensor based ( AT R ) online estimate the suspension transmissibility. The concept is validated in a vertical model of a single vehicle. Using a Receiver Operating Characteristic ( ROC ) curves, the best threshold is defined. Early results have less than 26 % average in detection error for AT R approach, which is a 9 % better than FT R approach. Intensive validation in a full vehicle model in CarSim™ shows the feasibility of practical implementation of this fault detection system.

[1]  Francesc Pozo,et al.  Fault detection in base-isolation systems via a restoring force observer , 2010, 2010 Conference on Control and Fault-Tolerant Systems (SysTol).

[2]  Ruben Morales-Menendez,et al.  A LPV Quarter of Car with Semi-active Suspension Model including Dynamic Input Saturation , 2010 .

[3]  Rolf Isermann,et al.  Mechatronic semi-active and active vehicle suspensions , 2004 .

[4]  Raul Morais,et al.  Sensing methodologies to determine automotive damper condition under vehicle normal operation , 2009 .

[5]  Manfred Hiller,et al.  Modelling and simulation for mechatronic design in automotive systems , 2003 .

[6]  Keith Worden,et al.  Nonlinearity in Structural Dynamics , 2019 .

[7]  Ruben Morales-Menendez,et al.  A Semi-active Control-oriented Damper Model for an Automotive Suspension , 2010 .

[8]  Péter Gáspár,et al.  LPV design of fault-tolerant control for road vehicles , 2010 .

[9]  Kevin A. Snook,et al.  縦方向電界場中で曲げたPIN-PMN-PT単結晶の強度 , 2011 .

[10]  Gangbing Song,et al.  Fault detection and fault tolerant control of a smart base isolation system with magneto-rheological damper , 2011 .

[11]  C S Han,et al.  Enhancement of vehicle handling characteristics by suspension kinematic control , 2001 .

[12]  Hyeongcheol Lee,et al.  Sensor fault detection and isolation algorithm for a continuous damping control system , 2011 .

[13]  Janos Gertler,et al.  Fault detection and diagnosis in engineering systems , 1998 .

[14]  Raghunathan Rengaswamy,et al.  A review of process fault detection and diagnosis: Part I: Quantitative model-based methods , 2003, Comput. Chem. Eng..

[15]  Kent A. Spackman,et al.  Signal Detection Theory: Valuable Tools for Evaluating Inductive Learning , 1989, ML.

[16]  Mehdi Ahmadian,et al.  Efficient Test Procedures for Characterizing MR Dampers , 2006 .

[17]  Ruben Morales-Menendez,et al.  Fault Detection for an Automotive MR Damper , 2012 .

[18]  T D Gillespie,et al.  Fundamentals of Vehicle Dynamics , 1992 .