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C H A P T E R 7
Conclusions
In this book, some different dynamic models are used to describe the vehicle rollover under both
untripped and special tripped situations. From the vehicle dynamics theory, rollover indices are
deduced and the dynamic stabilities of vehicle rollover are analyzed. In addition, some active
control strategies are discussed to improve the anti rollover performance of the vehicle.
In Chapter 2, in order to more accurately describe the vehicle rollover motion, some vehi-
cle rollover dynamic models are introduced, including: roll plane model, raw-roll model, lateral-
yaw-roll model, yaw-roll-vertical model, multi-freedom model, and multi-body dynamic model.
In Chapter 3, in order to predict the vehicle rollover state, different rollover indexes of
untripped rollover are discussed, including Static Stability Factor, Dynamics Stability Factor,
Lateral Load Transfer Ratio, Time-to-Rollover, and Prediction Rollover Warning.
In Chapter 4, the model and index of tripped vehicle rollover are presented in some special
cases such as uneven roads and banked roads. Also, the dynamics of tripped vehicle rollover are
simulated. And the energy method is introduced to predict tripped vehicle rollover using the
vehicle roll energy and the rollover potential energy.
In Chapter 5, the widely used rollover avoidance control methods are summarized and
analyzed, including anti-roll bar system, active suspension system, active steering system, active
braking system, and integrated chassis system.
In Chapter 6, many kinds of rollover control strategies and algorithms used to prevent
vehicle rollover are disused, such as PID control, LQR control, H-infinity control controller,
sliding mode control, and MPC control. Also, the effectiveness of different rollover control
algorithms are illustrated.
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