汽车自适应巡航控制算法的仿真研究

Simulation of adaptive cruise control algorithm of vehicle

针对车辆自适应巡航控制过程中速度控制的强非线性特性,根据本车与前车之间的距离与安全距离的偏差程度和两车之间相对速度的大小设计了不同的车辆ACC控制方法,并基于多模型切换控制理论设计了模糊切换器,建立了车辆在不同状态下的自适应巡航控制算法。在matlab/simulink的仿真环境下对该算法在车辆跟随工况和切入工况下进行了仿真验证,仿真结果表明,该控制算法不仅可以保证ACC控制的车辆行驶过程中与前车的安全性,而且可以保证车辆对车辆之间安全距离和前车速度具有较好的跟随精度。

According to the speed control of strong nonlinear characteristics in the process of the automobile adaptive cruise con- trol （ACC） system, based on the deviation of distance and safety distance between the vehicle and the ahead vehicle and the rela- tive speed between two vehicles, different automobile ACC control methods are designed, and fuzzy switcher on the basis of multi-model switching control theory is designed. Moreover, the control algorithm of ACC system under different states is estab- lished. This algorithm is verified in following condition and cutting condition under the simulation environment of matlab/simu- link. The simulation results show that this control algorithm can not only ensure the safety between the vehicle controlled by ACC and the vehicle ahead in driving, but ensure the safety distance between two vehicles and the speed of the vehicle in front has better following accuracy.