Abstract
Yaw stability control is a critical component of lateral and longitudinal dynamics, allowing for the improvement and evaluation of both vehicle handling and stability performance. A fourteen-degree-of-freedom model of a car with front steering is constructed in order to examine and analyze ways to improve the vehicle's yaw stability. The vehicle control system's feedback signal, which is the vehicle's yaw rate, is viewed as an input signal; we present a yaw moment control algorithm based on the PID controller. Two steering conditions are simulated in the simulations: a lane change maneuver and step steering. The simulation results indicate that the controlled vehicle's yaw rate follows a route close to the desired yaw rate target value; this indicates the success of both the controller utilized in this study and the mathematical equations developed.
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