摘要
针对传统的基于H1估计的随机振动控制算法估计系统频响函数时的不足,提出一种基于Hv估计的频响函数修正算法.首先在试验初始阶段采用Hv估计法估计系统频响函数,然后对其进行迭代修正,以减小系统时变特性的影响,使得估计结果更加接近真实频响,最后通过功率谱复现仿真验证了该文方法的有效性.
Aiming at the shortage of the H1 FRF （frequency response function） estimators used in the traditional random vibration control system, an iterative correction algorithm based on Hv estimator is put forward. By using Hv estimator to estimate the system FRF in the initial stage and correcting the FRF during the process, the method reduces the time-varying effect of the system and improves the control precision. The power spectral density replication simulation results show that the algorithm is better than the traditional method in control precision and control efficiency.
出处
《扬州大学学报（自然科学版）》
CAS
北大核心
2015年第1期13-15,56,共4页
Journal of Yangzhou University：Natural Science Edition
基金
国家自然科学基金资助项目(61174046)
关键词
随机振动
Hv估计
迭代修正
功率谱复现
random vibration
Hv estimation
iterative correction
power spectral density replication
