摘要
建立了重型车辆三自由度车辆模型,经过鱼钩工况仿真验证,确定此模型比较准确,可用于预警系统的仿真研究;以横向载荷转移率(LTR)预警门限值为参考值,应用经典卡尔曼滤波原理对车辆运行状态进行实时估计,实时计算出反映侧倾危险的侧翻时刻,从而开发了一套对重型车辆进行观测的侧翻预警系统。经在高附着路面上进行实车试验,设LTR预警门限值为0.2,侧翻时刻为3s,并在侧向加速度为0.2的条件下,该系统能及时做出预报,说明此系统有效可靠。
A 3-DOF vehicle model was established, and its accuracy was confirmed via the fishhook condition simulation, it showed that the model can be applied in simulation research for the warning system. The lateral load transfer rate (LTR) warning threshold was con- sidered as reference value, and the vehicle states were real time estimated by classic Kalman Filtering (KF) method, then the Time to Roll over (TTR) was calculated which can describe the rollover dangerous. A set of rollover warning system was developed that it can observe the vehicle states. The system can forecast the roll risk in time through real vehicle experiment with high-adhesion road, and the LTR warning threshold, TTR, the lateral acceleration were set to be 0.2, 0. 3, 0.2, respectively. It is shown the system is effective and reliable.
出处
《计算机测量与控制》
CSCD
北大核心
2012年第9期2523-2524,2528,共3页
Computer Measurement &Control
基金
吉林省教育厅"十一五"科学技术研究项目资助(2011109)