Research On Bus Rollover Warning And Anti-rollover Control Based On Differential Braking

Traffic accident data in recent years show that passenger cars are more likely to cause traffic accidents due to their high quality and high center of gravity,which has seriously endangered personal safety.It is more important to improve the driving stability of passenger cars and reduce the occurrence of rollover accidents.The thesis carries out research on passenger car rollover warning and anti-rollover control based on differential braking,which has certain theoretical guiding significance and application prospects for improving the lateral stability of vehicles.The main research contents of the thesis are as follows:First,establish a vehicle dynamics model.By analyzing the dynamic characteristics of the passenger car,a vehicle dynamics model including lateral,yaw and roll motions is established,and the model is compared with the whole passenger car model built in Trucksim software for simulation verification.The results show that the output curves of the vehicle dynamics model and the Trucksim passenger car model are in good agreement,so as to verify the accuracy of the vehicle model.Secondly,the mechanism and influencing factors of lateral stability of passenger cars are studied.Through theoretical research and simulation calculations,the influence of factors such as vehicle structural parameters,driver operations and road conditions on the lateral stability of passenger cars is discussed.The orthogonal experiment is carried out to further obtain the three factors with greater influence,which are the steering wheel angle,the height of the center of mass,and the speed of the vehicle.Then,research on the passenger car rollover warning system.The state parameters of the bus body are selected as the monitoring indicators of the early warning and anti-rollover control system.However,considering that the roll angle and other parameters are difficult to obtain directly,and the classical Kalman filter is difficult to adapt to the complex environment and changes in noise characteristics when estimating the body state parameters.Therefore,this article uses adaptive Kalman filter to estimate the parameters of the bus body.On this basis,an early warning algorithm based on vehicle input parameter training and correction is studied.Simulation results show that the effect of warning the warning algorithm better.Finally,research on the passenger car’s differential braking anti-rollover control system based on monitoring signals.In order to further improve the application of the anti-rollover control algorithm for passenger cars,this paper uses the combination of BP neural network PID control and differential braking to actively control the passenger car.The effect of anti-rollover control of the passenger car under the controller is compared with the control effect of common control algorithms.The results show that the anti-rollover control system based on BP neural network PID control has a better control effect,and can effectively improve the anti-rollover performance of passenger cars and prevent the risk of rollover.