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SBW系统中驾驶员转向特性控制研究

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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.
Research on Steering-by-Wire Control Considering Driver Characteristic
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's steering 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's characteristics.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.

Steer-by-WireAdaptive Neural NetworkDriver CharacteristicDriving Simulator

刘晓艳

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江苏电子信息职业学院,江苏 淮安 223003

江苏电子产品制造工程技术研究开发中心,江苏 淮安 223003

线控转向 自适应神经网络 驾驶员特性 驾驶模拟器

江苏省自然科学基金资助项目江苏省苏北科技专项项目

BK20191214SZ-HA2019008

2024

机械设计与制造
辽宁省机械研究院

机械设计与制造

CSTPCD北大核心
影响因子:0.511
ISSN:1001-3997
年,卷(期):2024.395(1)
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