汽车安全感知模块设计与仿真

The Design and Simulation of Car Safety Awareness Module

设计了一款汽车运动安全感知模块,该模块以扩展卡尔曼滤波理论为基础,估算汽车行驶过程中的运动状态变量。给出了包括汽车车轮的纵向车速、侧向车速、横摆角速度等汽车运动状态变量的控制算法。利用Simulink搭建控制模型,结合Carsim8.1软件对车辆状态控制算法进行仿真验证。通过仿真得出该算法可以很方便地判断汽车的行驶状态、有效提高汽车主动安全性的结果。

Based on the extended Kalman f i lter theory, a vehicle motion safety perception module was designed to estimate the state of motion in the process of vehicle driving. The control algorithm of vehicle status, including the longitudinal speed of the wheel, the lateral speed, swing angle and other motor movement state variables was studied. Finally, simulink software was used to build the control model, and the vehicle state control algorithm was simulated with Carsim8.1 software. Through the algorithm from simulation, it could be very convenient to judge the driving state of the car, and effectively improve the active safety of the car.