华南理工大学学报(自然科学版) ›› 2009, Vol. 37 ›› Issue (7): 74-78.

• 汽车工程 • 上一篇    下一篇

基于轴间驱动力分配的汽车操纵稳定性控制

罗玉涛1  谭迪1  刘延伟1  周斯加2   

  1. 1. 华南理工大学 广东省汽车工程重点实验室, 广东 广州 510640; 2. 广州汽车集团乘用车有限公司, 广东 广州 510030
  • 收稿日期:2008-05-30 修回日期:1900-01-01 出版日期:2009-07-25 发布日期:2009-07-25
  • 通信作者: 罗玉涛(1972-),男,副教授,主要从事电动汽车及系统动力学研究. E-mail:etytluo@scut.edu.cn
  • 作者简介:罗玉涛(1972-),男,副教授,主要从事电动汽车及系统动力学研究.
  • 基金资助:

    国家自然科学基金资助项目(50605020);广东省科技攻关项目(2006A10501001)

Control of Vehicle-Handling Stability Based on Distribution of Driving Force Between Axles

Luo Yu-tao Tan Di1  Liu Yan-wei1  Zhou Si-jia2   

  1. 1. Guangdong Provincial Key Laboratory of Automotive Engineering, South China University of Technology, Guangzhou 510640, Guangdong, China; 2. Guangzhou Automobile Group Motor Co., Ltd., Guangzhou 510030, Guangdong, China
  • Received:2008-05-30 Revised:1900-01-01 Online:2009-07-25 Published:2009-07-25
  • Contact: 罗玉涛(1972-),男,副教授,主要从事电动汽车及系统动力学研究. E-mail:etytluo@scut.edu.cn
  • About author:罗玉涛(1972-),男,副教授,主要从事电动汽车及系统动力学研究.
  • Supported by:

    国家自然科学基金资助项目(50605020);广东省科技攻关项目(2006A10501001)

摘要: 建立了基于扩展Elman网络的四驱电动汽车变速转向预测模型,以系统辨识的方法建立了该神经网络的非线性自适应预测控制器,经前后轴纵向力分配比例的反馈,借助对轴间驱动力分配的控制对车辆的稳定性控制问题进行了研究.仿真分析结果表明,这一方法具有很好的预测控制能力,控制动作平滑,目标跟踪迅速,能有效改善车辆的侧向动力学稳定性,在大多数情况下可辅助驾驶员对车辆的转向特性做出必要的修正.

关键词: 驱动力分配, 稳定性控制, Elman网络

Abstract:

In this paper, a steering forecasting model of four-wheel-driving electric vehicle is established based on the expanded EIman network, and a nonlinear adaptive forecasting controller of the network is put forward by means of system identification. Moreover, by feeding back the distribution proportion of longitudinal force, the control method of vehicle stability with the aid of driving force distribution between axles is investigated. Simulated and analytical results indicate that the proposed method with good predictive control ability achieves smooth control and rapid target tracking, so that it effectively improves the lateral dynamic stability of vehicles, and helps the driver to modify the steering characteristics of the vehicles in most conditions.

Key words: driving force distribution, stability control, Elman network