Rollover risk prediction of heavy vehicle in interaction with infrastructure

This paper presents a concept of a warning system to prevent rollover of heavy vehicles. The system consists of several sensors which measure the heavy vehicle dynamics. Initially, these dynamics states are observed using observers, and then, knowing the infrastructure characteristics, the risk of rollover is predicted and assessed using the lateral acceleration of the vehicle, the height of the centre of gravity, and the Load Transfer Ratio (LTR). This coefficient is calculated using the estimated load on each wheel.

[1]  Huei Peng,et al.  A real-time rollover threat index for sports utility vehicles , 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251).

[2]  Y Delanne,et al.  Sliding-mode observers for systems with unknown inputs: Application to estimating the road profile , 2003 .

[3]  J. Barbot,et al.  Sliding mode observer for triangular input form , 1996, Proceedings of 35th IEEE Conference on Decision and Control.

[4]  Masayoshi Tomizuka,et al.  Dynamic modeling of articulated vehicles for automated highway systems , 1995, Proceedings of 1995 American Control Conference - ACC'95.

[5]  David Cebon,et al.  EFFECTS OF HEAVY-VEHICLE CHARACTERISTICS ON PAVEMENT RESPONSE AND PERFORMANCE , 1991 .

[6]  H. Imine,et al.  Observation d'etats d'un vehicule pour l'estimation du profil dans les traces de roulement , 2003 .

[7]  Y Delanne,et al.  Road profile input estimation in vehicle dynamics simulation , 2006 .

[8]  David H. Klyde,et al.  Vehicle dynamic stability and rollover , 1992 .

[9]  S. Drakunov Sliding-mode observers based on equivalent control method , 1992, [1992] Proceedings of the 31st IEEE Conference on Decision and Control.

[10]  David Cebon,et al.  Interaction Between Heavy Vehicles and Roads , 1993 .

[11]  Y. Delanne,et al.  Triangular Observers for Road Profiles Inputs Estimation and Vehicle Dynamics Analysis , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[12]  Y Delanne,et al.  Road Profiles Inputs to evaluate loads on the wheels , 2004 .

[13]  Mohamed Bouteldja,et al.  Modélisation des interactions dynamiques poids lourds / infrastructures pour la sécurité et les alertes , 2005 .

[14]  I. M. Ibrahim A GENERALLY APPLICABLE 3D TRUCK RIDE SIMULATION WITH COUPLED RIGID BODIES AND FINITE ELEMENT MODELS. , 2004 .

[15]  V. Utkin,et al.  Sliding mode observers. Tutorial , 1995, Proceedings of 1995 34th IEEE Conference on Decision and Control.

[16]  R. Langari,et al.  Rollover prediction and control in heavy vehicles via recurrent neural networks , 2004, 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).

[17]  Vadim I. Utkin,et al.  Sliding Mode Observers , 2017 .

[18]  Masayoshi Tomizuka,et al.  Robust H/sub /spl infin// lateral control of heavy-duty vehicles in automated highway system , 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251).