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| 基于神经网络和侧翻时间算法的轻型汽车侧翻预警 | |
| 引用本文： | 赵健,郭俐彤,朱冰,黄庆玲,李世超,周欣.基于神经网络和侧翻时间算法的轻型汽车侧翻预警[J].吉林大学学报(工学版),2012,42(5):1083-1088. |
| 作者姓名： | 赵健 郭俐彤 朱冰 黄庆玲 李世超 周欣 |
| 作者单位： | 1. 吉林大学汽车仿真与控制国家重点实验室,长春,130022 2. 吉林大学汽车仿真与控制国家重点实验室,长春130022 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 |
| 基金项目： | 国家自然科学基金项目，吉林省青年科研基金项目，中国博士后科学基金项目，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。 |
| 关 键 词： | 车辆工程 侧翻预警 神经网络 侧翻时间 轻型汽车 |
Rollover warning for light vehicles based on NN-TTR algorithm |
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| ZHAO Jian,GUO Li-tong,ZHU Bing,HUANG Qing-ling,LI Shi-chao,ZHOU Xin.Rollover warning for light vehicles based on NN-TTR algorithm[J].Journal of Jilin University:Eng and Technol Ed,2012,42(5):1083-1088. | |
| Authors: | ZHAO Jian GUO Li-tong ZHU Bing HUANG Qing-ling LI Shi-chao ZHOU Xin |
| Affiliation: | 1.State Key Laboratory of Automotive Simulation and Control,Jilin University,Changchun 130022,China;2.Key Laboratory of Bionic Engineering of Ministry of Education,Jilin University,Changchun 130022,China;3.Product Development Department,FAW CAR Co.,Ltd.,Changchun 130011,China) |
| Abstract: | 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. |
| Keywords: | vehicle engineering rollover warning neural network time-to-rollover light vehicle |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |