Simulation Research On Vehicle Stability Control Algorithm

The high-speed car safety driving is always an important content of vehicle turning stability, when the car in high speed turning or changing lanes, the car will be in the large centrifugal force to produce the yaw motion. When the ground adhesion coefficient is low,the car will immediately spin, and side-slip once generated, road in the face of a car’s lateral effect will decrease rapidly, the driver through the steering wheel of automobile control effect will become very obvious, the car will quickly lose stability.There are many factors to affect the stability of the car, including vehicle structure, parameters, vehicle driving speed, initial operation state, road attachment and steering wheel angle etc..Therefore, steering stability controller design is a complicated branching problem.Introducing the domestic and international research status of the vehicle stability control system.According to the domestic and foreign literature to the vehicle stability,analyzes the causes of vehicle side-slip, selected for two control parameters of vehicle stability and the control strategy is presented, and the genetic optimization of PID control algorithm of vehicle stability has been studied. The full text mainly includes the following aspects of the research:1. Analyzing car skidding reason, then according to the ideal two degrees of freedom vehicle model selects the yaw angular velocity and side-slip angle as the vehicle stability control system control parameters, and how judge the car running state through the two control parameters, although after developed in response to the control strategy.2. The simulation environment is introduced, and we established vehicle virtual prototype model in Adams/car, the simulation block diagram of control system is set up in Matlab/Simulink, and realize the multi-body system dynamics and the closed loop control system co-simulation by Adams and MATLAB co-simulation technology.3. Studying the PID control algorithm and genetic optimization PID control algorithm, and the simulation analysis of these two algorithms is carried out by the simulation block diagram of Simulink.4. Under the PID control algorithm, the influence of different vehicle parameters onthe stability of the vehicle is also compared.The co simulation shows that genetic optimization PID control algorithm than the PID control algorithm has a better control effect, the amplitude and overshoot of the yaw angular velocity and side-slip angle are reduced obviously, improve the vehicle steering stability. Vehicle mass and mass center position have obvious influence on the vehicle stability control parameters.