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.
出处
《桂林工学院学报》
北大核心
2007年第1期133-135,共3页
Journal of Guilin University of Technology
关键词
汽车
前悬架
隔振
实验
神经网络
辨识
vehicle
front suspension
anti-vibration
experiment
neural network
identification
