Fault detection for lateral and vertical vehicle dynamics

Abstract Mechatronic systems for vehicles have received increased importance for improving automotive safety and comfort. These systems are designed to aid the driver by preventing unstable or unpredictable vehicle behavior and to stabilize the horizontal and vertical motion of the vehicle. This is achieved by the integration of actuators, sensors and data processing. However, the attained benefits are paralleled by an increase in the complexity of the system requiring enhanced methods for fault detection and diagnosis. Therefore, concepts for model-based fault detection and diagnosis along with sensor fault tolerance are presented and realized for both a vehicle lateral dynamics system and an active suspension system.

[1]  O. Nelles.  Nonlinear System Identification , 2001 .

[2]  R. J. Patton,et al.  Fault detection, supervision, and safety for technical processes 1997 (SAFEPROCESS '97) : a proceedings volume from the 3rd IFAC symposium, Kingston Upon Hull, UK, 26-28 August 1997 , 1998 .

[3]  Stefan Stölzl.  Fehlertolerante Pedaleinheit für ein elektromechanisches Bremssystem (Brake-by-wire) , 2000 .

[4]  Uwe Kiencke,et al.  Automotive Control Systems , 2005 .

[5]  Rolf Isermann,et al.  Supervision, fault-detection and fault-diagnosis methods — An introduction , 1997 .

[6]  Hong Chen,et al.  An LMI approach to multiobjective RMS gain control for active suspensions , 2001, Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148).

[7]  Rolf Isermann,et al.  Diagnosis Methods for Electronic Controlled Vehicles , 2001 .

[8]  Klaus Landesfeind,et al.  Vehicle Stabilization by the Vehicle Dynamics Control System ESP , 2000 .

[9]  Paul M. Frank,et al.  Fault Diagnosis in Dynamic Systems , 1993, Robotics, Mechatronics and Manufacturing Systems.

[10]  Rolf Isermann,et al.  A decision support system for lung function diagnosis in infants , 1997 .

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

[12]  Safety for Technical Processes,et al.  Fault detection, supervision and safety of technical processes 2003 (SAFEPROCESS 2003) : a proceedings volume from the 5th IFAC symposium, Washington, D.C., USA, 9-11 June 2003 , 2004 .

[13]  Rolf Isermann,et al.  Supervision, fault detection, and sensor fault tolerance of passenger cars , 2003 .

[14]  Rolf Isermann,et al.  Mechatronic Systems: Fundamentals , 2003 .

[15]  Rolf Isermann,et al.  Fault Detection of Vehicle Suspensions , 1997 .

[16]  Rolf Isermann,et al.  Model-based detection of critical driving situations with fuzzy logic decision making , 2006 .

[17]  Max Donath,et al.  American Control Conference , 1993 .

[18]  Rolf Isermann,et al.  DETECTION OF LATERAL VEHICLE DRIVING CONDITIONS BASED ON THE CHARACTERISTIC VELOCITY , 2002 .

[19]  Rolf Isermann,et al.  Model-based process fault detection for a vehicle suspension actuator , 2004 .

[20]  Rolf Isermann,et al.  Model based Fault Detection for an Active Vehicle Suspension , 2004 .

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

[22]  Rolf Isermann,et al.  Online supervision of fault-tolerant systems for safety-related applications , 1999 .

[23]  Klaus Landesfeind,et al.  VDC Systems Development and Perspective , 1998 .

[24]  Rajesh Rajamani,et al.  Adaptive observers for active automotive suspensions: theory and experiment , 1995, IEEE Trans. Control. Syst. Technol..

[25]  Rolf Isermann,et al.  Fault-tolerant drive-by-wire systems , 2002 .

[26]  Andrew G. Alleyne,et al.  Nonlinear adaptive control of active suspensions , 1995, IEEE Trans. Control. Syst. Technol..

[27]  R. Majjad.  Estimation of suspension parameters , 1997, Proceedings of the 1997 IEEE International Conference on Control Applications.

[28]  Joshua P. Switkes,et al.  EXPERIMENTAL VALIDATION OF THE POTENTIAL FIELD LANEKEEPING SYSTEM , 2004 .