中国机械工程2018，Vol.29Issue(9)：1009-1016,8.DOI:10.3969/j.issn.1004-132X.2018.09.001
基于灰色预测的驾驶员-汽车系统侧翻预测
Vehicle Rollover Predicting Systems Based on Grey Prediction Theory
摘要
Abstract
In order to guarantee the high speed train operation safety,an estimation of rollover evaluation index was studied based on preview-estimate driver model,and a vehicle rollover predicting system was designed based on preview-estimate driver model. Focused on the cars with high center of gravity,a three degree-of-freedom vehicle rollover dynamic model and a driver model were built. And the preview-estimate driver model was established based on the preview-follower theory and the theory of grey prediction.According to the mechanism of rollover,the LTR that could reflect the rollover situation was introduced,and the vehicle rollover index estimation-prediction model was proposed. And the vehicle rollover prediction system was established based on the active-steering rollover prevention control strategy and estimate-prediction model of vehicle rollover index.The rollover prediction system was proposed for the simulation analysis under different working conditions,and the effectiveness of the proposed system was confirmed.关键词
侧翻/横向载荷转移率/驾驶员建模/灰色预测Key words
rollover/lateral-load transfer ratio(LTR)/driver modeling/grey prediction分类
交通工程引用本文复制引用
赵又群,金颖智,季林..基于灰色预测的驾驶员-汽车系统侧翻预测[J].中国机械工程,2018,29(9):1009-1016,8.基金项目
国家自然科学基金资助项目(11672127,11072106) （11672127,11072106）
中央高校基本科研业务费专项资金资助项目(NP2016412) （NP2016412）
