The influence of crosswind conditions on the lateral stability of vehicles is significant,increasing the burden on drivers and posing substantial safety risks.To enhance the control accuracy of vehicles in crosswind environments,this paper proposes a control strategy considering the effects of crosswind based on model predictive control(MPC).This strategy involves analyzing the aerodynamic forces experienced by vehicles under different wind speeds to establish a three-degree-of-freedom dynamic model of the entire vehicle.Additionally,aerodynamic coefficients are integrated into the model predictive control strategy,leading to the design of a model predictive controller for active front-wheel steering to enhance vehicle lateral stability in crosswind conditions.Joint simulation results demonstrate that compared to a standard MPC controller,this controller achieves higher control accuracy and faster response rates in various crosswind environments,ef-fectively improving vehicle handling stability and driving safety.
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