摘要
为了有效的进行汽车道路模拟试验,首先要通过系统识别获得整个试验系统的频响函数矩阵[FRF], 之后在目标信号模拟过程中获得满足试验要求的驱动信号。详细叙述了在系统识别过程中,对识别所得模型进行评判的相干函数法及预测法,和为获取更加准确模型而使用的模型平均法;以及为消除整个实验系统的非线性因素而在目标信号模拟过程中采用的迭代算法。最后,通过具体的试验对上述的控制算法进行了验证。
To vehicle road simulation testing, frequency response function matrix of the whole text system should be got by system identification process; then drive signal, which is satisfied with the testing requirement, should be got by target signal simulation process. This paper describes the coherence function and prediction method that is used for system model quality estimation, and model averaging in order to get more precise model in system identification process. Iteration that is used to eliminating the non-linear effects of the test system in target simulation process is also described. At last, this control algorithm is validated by practical road simulation test.
出处
《噪声与振动控制》
CSCD
北大核心
2006年第1期31-35,共5页
Noise and Vibration Control
关键词
振动与波
道路模拟
系统识别
模型
迭代
vibration and wave
road simulation
system identification
model
iteration
