首页> 外文会议>SAE New Energy Intelligent Connected Vehicle Technology Conference >Research on Control Algorithm of Active Steering Control Based on the Driver Intention
【24h】

Research on Control Algorithm of Active Steering Control Based on the Driver Intention

机译:基于驾驶员意图的主动转向控制控制算法研究

获取原文

摘要

Active steering technology can improve the operability of the driver by the involvement to the steering system. Driver is the major controller of the vehicle Therefore, the involvement of advanced technologies including the active steering technology shouldn’t interfere with the intention of the driver, and the driver should still have great control of the vehicle. The aim of this paper is to solve the problem of the driver’s control when the active steering system works to improve the flexibility of the low speed and the stability of the high speed, and the active steering model based on the driver’s steering intention is established. Through the CarSim simulation software, this paper adopts 9 parameters related to the vehicle steering of the DLC (Double Line Change). And PCA (Principal Component Analysis) algorithm, a tool of statistical analysis, is applied to select 4 parameters which can stand for the DLC from the 9 parameters, which makes the data processing easier. Through the 4 parameters, this model divide the driver’s steering intention into four categories (emergency steering, normal steering, turn left and turn right) having different weights of active steering angle by clustering analysis, which ensures the driver get better control to the vehicle than traditional active steering system at different steering conditions. Finally, the feasibility of this model is verified by the simulation results through the comparison with the curve of the ideal steering at DLC steering condition.
机译:主动转向技术可以通过参与转向系统来提高驾驶员的可操作性。驾驶员是车辆的主要控制器,因此,包括主动转向技术在内的先进技术的参与不应干扰驾驶员的意图,驾驶员仍然应该有很大控制车辆。本文的目的是解决驾驶员控制的问题当主动转向系统为提高低速的灵活性和高速的稳定性,以及基于驾驶员转向意图的主动转向模型。通过Carsim仿真软件,本文采用了与DLC的车辆转向有关的9个参数(双线改变)。和PCA(主成分分析)算法,统计分析工具,应用于从9个参数中选择DLC的4个参数,这使得数据处理更容易。通过4个参数,将驾驶员的转向意图分为四个类别(紧急转向,正常转向,左转和右转),通过聚类分析具有不同的主动转向角度的重量,这确保了驱动器比车辆更好地控制不同转向条件下的传统主动转向系统。最后,通过与DLC转向条件的理想转向曲线的比较来验证该模型的可行性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号