汽车前悬架隔振性能的实验分析与神经网络辨识  

Test Analysis and Neural Network Identification on Anti-vibration Performance of Vehicle Front Suspension

作　　者：李海侠[1] 

机构地区：[1]桂林工学院电子与计算机系,广西桂林541004

出　　处：《桂林工学院学报》2007年第1期133-135,共3页Journal of Guilin University of Technology

摘　　要：给出了汽车隔振基本原理.采用汽车制动-悬架隔振效率实验台获取了实验汽车前悬架的振动曲线,对其计算了系统参数如一阶固有频率和阻尼比.以实测数据作为学习样本,对汽车前悬架的系统参数进行辨识.结果表明,利用神经网络可以更好的研究汽车前悬架的隔振效能.The primary principle of anti-vibration on vehicle is introduced. Based on the laboratory bench for vehicle braking-suspension anti-vibration efficiency, the vibration curve of suspension from test car is obtained. The system parameters such as characteristic frequency and damp rate are calculated with the vibration curve. The actual data of experiment is used as sample and the system parameters are identified. The results show that the neural network can provide effectively research for the anti-vibration efficiency of vehicle front suspension.

关 键 词：汽车 前悬架 隔振 实验 神经网络 辨识 

分 类 号：U463.9[机械工程—车辆工程]