摘要
为了分析优化多编组铰接车辆的平顺性问题,建立了考虑悬架非线性阻尼特性的n节编组铰接车辆的振动模型,采用粒子群算法对影响车辆平顺性的关键参数(悬架非线性阻尼参数)进行了优化,并提出了一种基于车间铰接约束力补偿和线性二次高斯(linear quadratic Gaussian,LQG)控制相结合的主动悬架控制方法。以车体的垂向、侧倾和俯仰振动加速度均方根作为车辆平顺性关键评价指标,采用B级路面以不同速度对4节编组车辆实施仿真分析。结果表明:随车速增加车辆平顺性变差,且存在首车至尾车车体垂向振动加速度均方根依次变大等振动特点,且通过悬架参数优化与采用主动悬架控制后,车辆平顺性得到明显提高——车辆在垂向、侧倾和俯仰方向的振动加速度均方根分别减少了48.29%,24.79%和54.44%。
In order to analyze and optimize the ride comfort of multi-group articulated vehicles,a vibration model of an n-section group articulated vehicle considering the nonlinear damping characteristics of the suspension was established.The particle swarm algorithm was used to optimize the key parameters(suspension nonlinear damping parameters)that affect the ride comfort of the vehicle and an active suspension control method based on the combination of articulation force compensation and linear quadratic Gaussian(LQG)was proposed.The root means square of the vehicle body’s vertical,roll and pitch vibration acceleration was used as the critical evaluation index of vehicle ride comfort.The 4-section articulated vehicle was simulated and analyzed at different speeds on the B-level road surface.Preliminary analysis results show that the ride comfort of the vehicle becomes worse with the increase of vehicle speed,and there are characteristics such as the gradual increase of the root mean square of the vertical vibration accelerations of the first vehicle to the tail vehicle.Moreover,the ride comfort of the vehicle has been significantly improved by optimizing the suspension parameters and using active suspension control and the root-mean-square vibration acceleration of the vehicle in the vertical,roll and pitch directions is reduced by 48.29%,24.79%and 54.44%,respectively.
作者
陈俊
李艳
杨蔡进
张德华
张卫华
CHEN Jun;LI Yan;YANG Cai-jin;ZHANG De-hua;ZHANG Wei-hua(State Key Laboratory of Traction Power,Southwest Jiaotong University,Chengdu 610031,China;Southwest Jiaotong University Chengdu Design Institute Co.,Ltd.,Chengdu 610031,China)
出处
《广西大学学报（自然科学版）》
CAS
北大核心
2022年第6期1543-1553,共11页
Journal of Guangxi University（Natural Science Edition）
基金
国家重点研发计划项目(2018YFB1201603-06)
四川省科技计划项目(2020JDRC0008)。
关键词
多编组铰接车辆
悬架参数优化
平顺性
粒子群算法
LQG控制方法
multi-group articulated vehicle
suspension parameter optimization
ride comfort
particle swarm optimization
LQG control method
