SBW系统中驾驶员转向特性控制研究  

Research on Steering-by-Wire Control Considering Driver Characteristic

作　　者：刘晓艳 LIU Xiao-yan(Jiangsu Vocational College of Electronics and Information,Jiangsu Huaian 223003,China;The Engineering Tech-nology Research and Development Center of Electronic Products Equipment Manufacturing of Jiangsu Province,Jiangsu Huaian 223003,China)

机构地区：[1]江苏电子信息职业学院,江苏淮安223003 [2]江苏电子产品制造工程技术研究开发中心,江苏淮安223003

出　　处：《机械设计与制造》2024年第1期75-78,84,共5页Machinery Design & Manufacture

基　　金：江苏省自然科学基金资助项目(BK20191214);江苏省苏北科技专项项目(SZ-HA2019008)。

摘　　要：针对多样化的驾驶员特性参数对线控转向影响研究。首先在分析驾驶员特性参数对转向控制影响的基础上,构建单点预瞄模型;其次,采用驾驶模拟器平台在典型工况下采集驾驶员转向特性数据,提取数据特征值;然后,设计RBF自适应神经网络控制器,以适应不同驾驶员特性的前轮转角控制;最后对所设计的控制器针对不同车速、不同驾驶员特性进行仿真试验。试验结果表明:基于RBF自适应神经网络控制器可以实现车辆在不同车速下的稳定转向,车速响应效率提升约(7.9~17.1)%,对于不同驾驶员特性具有良好的自适应效果,可提高驾驶员转向舒适性与安全性。Steering control for steering-by-wire(SBW)is studied considering different driver’s characteristics.Firstly,the single point preview model is established based on the influence of the driver’s characteristics parameters on the steering control.Sec-ondly,the driver’ssteering characteristics are carried out based on the driving simulator platform under typical experimental con-ditions.Thirdly,the radial basis function(RBF)adaptive neural network control is designed for the front wheel angle control of SBW system.Finally,the designed controller is verified for different vehicle speeds and different driver’scharacteristics.The simu-lation case shows that,the RBF adaptive neural network control can achieve the stable steering of the vehicle at different speeds,the yaw rate of the vehicle is(7.9~17.1)%.It proves that the proposed method is feasible,can improve the driving control adapt-ability and safety.

关 键 词：线控转向 自适应神经网络 驾驶员特性 驾驶模拟器 

分 类 号：TH16[机械工程—机械制造及自动化] U471.3[机械工程—车辆工程]