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基于云模型的汽车前照灯弯道自适应系统建模与仿真

     

摘要

Generally, the head lamp on the automobile has the fixed illumination scope. When the automobile turns at night, it can frequent appear "the blind spot" in the bend, because the lights are unable to adjust the illumination angle. At first, three models, including two-freedom auto model and horizontal adjusting model of the car front-light axis and stepper motor model for AFS of vehicle running on a crooked road were established. The AFS control algorithm based on one-dimension cloud model was put forward. The control system for AFS was established and MAT-LAB simulation was carried out. The result indicates that the control method,compared with increment PID algorithm, has better adaptability and greater robustness, and it has great significance to improve the night driving safety.%针对汽车上安装的前照灯具有固定照射范围,当汽车夜间转弯时前照灯无法调节照明角度,常在弯道内侧出现盲区等情况,首先建立了线性二自由度汽车模型、前照灯光轴水平方向调节模型和前照灯步进电机模型,然后提出了基于-维云模型控制的自适应前照灯系统控制算法,建立了汽车弯道行驶自适应前照灯控制系统模型并利用MATLAB进行了仿真.仿真结果表明:该控制方法与增量式PID算法相比具有更好的自适应性和更强的鲁棒性,对提高夜间行车安全性具有重要意义.

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