摘要
针对多影响因子下的前照灯系统进行研究,建立可以适应路面湿滑状态以及车辆载重变化的智能前照灯偏转模型,并对所建模型进行了直线路段和转弯路段的仿真分析;根据仿真分析中存在的车灯偏转调节尖峰问题设计模糊PID控制器对其控制性能进行优化。仿真结果表明,加入模糊PID控制器后能够大大降低过度偏角,提高了前照灯的使用寿命和工作精度。
The headlamp system with multiple influencing factors is studied,the intelligent headlamp deflection model which can adapt to the slippery condition of the road and the change of the vehicle load is established. And the model is simulated and analyzed in the straight line section and the turning section. Besides,a fuzzy PID controller is designed to optimize the control on the basis of the simulation model for the rush problem. The simulation results show that the fuzzy PID controller can reduce excessive angle,which improved the service life of the headlights and working precision.
作者
刘永斌
刘珊中
李金辉
LIU Yong-bin;LIU Shan-zhong;LI Jin-hui(School of Information Engineering,Henan University of Science and Technology,Luoyang 471023,China;School of Transportation and Vehicle Engineering,Henan University of Science and Technology,Luoyang 471023,China)
出处
《火力与指挥控制》
CSCD
北大核心
2019年第3期131-134,147,共5页
Fire Control & Command Control
基金
国家自然科学基金(U1604132)
河南省科技创新杰出人才计划基金(154200510022)
河南科技大学博士科研启动基金(13480037)
河南省教育厅自然科学研究计划基金资助项目(2011A580002)
关键词
安全制动
路面湿滑
车辆载重变化
智能前照灯
模糊PID控制
safety brake
slippery road surface
vehicle load change
AFS (Adaptive Front-lighting System)
fuzzy PID control
