基于神经网络和侧翻时间算法的轻型汽车侧翻预警  

Rollover warning for light vehicles based on NN-TTR algorithm

作　　者：赵健[1] 郭俐彤[1] 朱冰[1,2] 黄庆玲 李世超 周欣 

机构地区：[1]吉林大学汽车仿真与控制国家重点实验室,长春130022 [2]吉林大学工程仿生教育部重点实验室,长春130022 [3]一汽轿车股份有限公司产品部,长春130011

出　　处：《吉林大学学报（工学版）》2012年第5期1083-1088,共6页Journal of Jilin University:Engineering and Technology Edition

基　　金：国家自然科学基金项目(51105169);吉林省青年科研基金项目(201101028);中国博士后科学基金项目(2011M500053);吉林大学基本科研业务费项目

摘　　要：为实现车辆侧翻精确预警,建立了三自由度侧翻模型和基于侧翻时间(TTR)算法的侧翻预警算法。在此基础上引入仿生智能神经网络,提出基于多状态参量修正的NN-TTR侧翻预警算法。选取典型车辆状态参数组合对传统TTR进行修正分析,并利用Matlab/Simu-link与Carsim联合仿真平台对侧翻预警算法进行验证。结果表明,基于NN-TTR的轻型汽车侧翻预警算法能够有效提高侧翻预警精度,为主动防侧翻控制奠定良好基础。In order to realize the accurate vehicle rollover warning,a 3-DoF rollover model and a time-to-rollover（TTR）-based rollover algorithm was established.Bionic intelligent artificial neural network（NN） was introduced to present a multi-parameter modified NN-TTR rollover warning algorithm.The typical vehicle state parameters were selected to analyze and correct the traditional TTR.The NN-TTR algorithm was validated using Matlab/Simulink and Carsim co-simulation platform.The results showed that the light vehicle rollover warning algorithm based on NN-TTR effectively improves the warning accuracy and provides a good foundation to improve the active anti-rollover control.

关 键 词：车辆工程 侧翻预警 神经网络 侧翻时间 轻型汽车 

分 类 号：U463.1[机械工程—车辆工程]