AN APPROACH TO ROLLOVER STABILITY IN VEHICLES USING SUSPENSION RELATIVE POSITION SENSORS AND LATERAL ACCELERATION SENSORS

An Approach to Rollover Stability in Vehicles Using Suspension Relative Position Sensors and Lateral Acceleration Sensors. (December 2005) Narahari Vittal Rao, B.E., Vishveswariah Technological University Chair of Advisory Committee: Dr. Reza Langari Safety in automobiles is gaining increasing importance. With the increasing trend of U.S. buyers towards SUVs, appropriate safety measures for SUVs need to be implemented. Since SUVs, as a vehicle type, have a higher center of gravity and hence have a greater tendency to rollover at high cornering speeds. The rollover can also occur due to the vertical road inputs like bumps and potholes which induce a rolling moment. The proposed rollover identification system would “couple” the two inputs from the suspension relative position sensors and the lateral acceleration sensor to predict rollover. The input to the suspension relative position sensors could be either due to the vehicle cornering, which results in the outer suspension getting compressed and the inner suspension getting extended, or maybe due to vertical road inputs. The principal objective is to differentiate the two types of inputs (since they can have opposing moment values) and further couple the same with the lateral acceleration input to form a rollover identification system. The work involves modeling of a semi-car model using the Dymola-vehicle dynamics simulation software. The semi-car model is developed to simulate values for the two proposed sensors. Then using NHTSA standard steering procedures and steering angle as the input, the lateral tire forces are generated. These tire forces serve as input to the Dymola model which is integrated into a Simulink model. The lateral acceleration and

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

[2]  W. Sienel Estimation of the tire cornering stiffness and its application to active car steering , 1997, Proceedings of the 36th IEEE Conference on Decision and Control.

[3]  J. Ackermann,et al.  Robust Steering Control for Active Rollover Avoidance of Vehicles with Elevated Center of Gravity , 1998 .

[4]  Paul J.Th. Venhovens,et al.  Vehicle Dynamics Estimation Using Kalman Filters , 1999 .

[5]  Dirk Odenthal,et al.  Nonlinear steering and braking control for vehicle rollover avoidance , 1999, 1999 European Control Conference (ECC).

[6]  Dirk Odenthal,et al.  Damping of vehicle roll dynamics by gain scheduled active steering , 1999, 1999 European Control Conference (ECC).

[7]  Homer Rahnejat,et al.  Multi-Body Dynamics in Full-Vehicle Handling Analysis under Transient Manoeuvre , 2000 .

[8]  Aleksander B. Hac,et al.  IMPROVEMENTS IN VEHICLE HANDLING THROUGH INTEGRATED CONTROL OF CHASSIS SYSTEMS , 2002 .

[9]  Victor S. Trent,et al.  A Predictive Rollover Sensor , 2002 .

[10]  Moustafa El-Gindy,et al.  SLIDING MODE CONTROL FOR ROLLOVER PREVENTION OF HEAVY VEHICLES BASED ON LATERAL ACCELERATION , 2003 .

[11]  Peter J. Schubert,et al.  Electronics and Algorithms for Rollover Sensing , 2004 .

[12]  Jon Rigelsford,et al.  Automotive Control Systems: For Engine, Driveline and Vehicle , 2004 .

[13]  Jung-Shan Lin,et al.  Nonlinear active suspension control design applied to a half-car model , 2004, IEEE International Conference on Networking, Sensing and Control, 2004.

[14]  Aleksander B. Hac,et al.  Detection of Vehicle Rollover , 2004 .

[15]  Aleksander B. Hac Influence of Chassis Characteristics on Sustained Roll, Heave and Yaw Oscillations in Dynamic Rollover Testing , 2005 .