汽车动力学参数的相对灵敏度分析  

Vehicle Dynamic Parameters Relative Sensitivity Analysis

作　　者：汪永志[1] 汪伟[1] 贝绍轶[1] 张兰春[1] 

机构地区：[1]江苏理工学院汽车与交通工程学院,江苏常州213001

出　　处：《机械设计与制造》2018年第1期19-21,共3页Machinery Design & Manufacture

基　　金：国家自然科学基金项目(51305175);江苏省自然科学基金面上项目(BK2012586)

摘　　要：基于灵敏度的函数求导思想,变换出单因素扰动法。用该方法首次对基于卡尔曼滤波理论进行状态估计后的汽车状态参数的相对敏感度进行分析。在线性二自由度汽车模型和卡尔曼滤波理论基础上,分析估计所得的状态量(横摆角速度、质心侧偏角)对动力学模型中的汽车的质量、转动惯量以及质心到前轴距离的灵敏度。研究汽车状态参数对汽车结构参数的相对灵敏度,通过仿真试验和实车试验数据对相对灵敏度进行分析,最终的结论将对汽车状态估计算法的研究具有指导意义。Based on functions derivation thought of sensitivity, single factor perturbation method was transformed. Then the method was used firstly on relative sensitivity analysis for vehicle state parameters after estimated by kalman filtering theory. Firstly, on the basis of the two DOF linear vehicle dynamics model and kalman filtering theory, the relative sensitivity was analyzed by the state variables（yaw angular velocity, sideslo~ angle） obtained by estimating. The relative sensitivity referred to the sensitivity of vehicle quality, moment of inertia and the distance of the center of mass to the front axle. The state parameters relative sensitivity for vehicle parameters was studied. The relative sensitivity was analyzed by comparing the simulation test date with the real vehicle test data The final conclusion will has a guiding significance on the research of vehicle state estimation algorithm.

关 键 词：汽车动力学 状态参数 灵敏度 单因素扰动法 试验分析 

分 类 号：TH16[机械工程—机械制造及自动化]