Zheng Hongyu

Vehicle active front steering and yaw moment integrated control

An integrated control algorithm based on model predictive control (MPC) for vehicle active front steering (AFS) and yaw moment control integrated control (DYC) is proposed in this paper. Hierarchical integrated control structure is adopted in the algorithm. Design the model predictive controller and use the quadric programming method for tire force allocation. The algorithm is verified by the simulation. The results show that the algorithm can enhance the vehicle stability and is feasible.

A control strategy of electronic braking system based on brake comfort

EBS offers considerable advantages to improve the braking performance of commercial vehicle. This paper proposes a control strategy of EBS, which is focused on the comfort assessment of vehicles. The road conditions are identified by the identification parameter, which is obtained when the slip-ratio reaches a certain point. The strategy is able to select the maximum deceleration, according to road conditions as well as the comfortable feeling of the drivers. The moving speed of the braking pedal is used to judge the drivers non-emergency brake intention. The braking force is distributed on the front axle and the rear axle ideally, with the axle load and the gravity position are taken into consideration. The performance of the strategy has been simulated. The results show that the strategy can identify the road condition effectively and make the driver feel comfortable during the brake process.

Research on TTR and roll stability control of heavy vehicle

Because of the sensitive factors, such as the larger loads, higher mass center and relatively narrow tread in comparison with the height of heavy vehicles that have the poor dynamic rollover stability. This paper set of anti-rollover LQR control algorithm based on early warning. The model-based early rollover warning algorithm utilize the TruckSim® models and early warning reference model to predict the impeding vehicle rollover time in advance and told the driver the warning signals so that drivers had enough time to take appropriate measures to prevent vehicle rollover that called time to rollover (TTR), thereby greatly improving the vehicles active safety performance of the heavy vehicles. As to the anti-rollover LQR control algorithm, the principle was to use the optimal additional yaw moment obtained from the control algorithm and then made it reasonable impose the corresponding wheels by taking the moment distribution methods based on the differential braking for the purpose of reducing the risk of rollover. The simulation results show that the algorithm was presented in this paper can effectively reduce the lateral load transfer ratio and actively void the occurrence of rollover accidents.