摘要
针对传统随机振动试验技术不能够精确模拟实际超高斯随机振动环境的问题,设计一种超高斯随机振动试验系统,并给出其并行测控技术。首先构建超高斯随机振动试验的硬件系统;然后对振动加速度信号的峭度与功率谱密度两项指标采用并行修正的控制方法,其中峭度采用均衡算法,功率谱密度采用自适应逆控制的迭代算法;最后利用泊松过程将修正后的峭度与功率谱密度信号合成超高斯驱动信号,以驱动振动试验台。实际振动试验测试表明:驱动信号具有典型的超高斯特性,响应功率谱密度符合±3 dB的允差要求,响应峭度控制在±7%的误差范围,达到更符合实际振动环境的试验要求。
The traditional random vibration test technology can not simulate the super-Gaussian random vibration environment accurately, thus a super-Gaussian random vibration test system is designed and its parallel measurement and control technology are given. Firstly, the hardware system of the super-Gaussian random vibration test is constructed. Then the method of parallel control is used to correct the kurtosis and power spectral density of the vibration acceleration signal. The equalization correction algorithm is adopted for kurtosis, and the adaptive inverse control iterative algorithm is adopted for the power spectral density. Finally, the modified kurtosis and the power spectral density signal are combined into the super-Gaussian driving signal based on the Poisson process to drive the vibration table. The actual vibration test shows that the driving signal has a typical super-Gaussian characteristic, with response power spectral density meeting the tolerance requirement of ±3 dB, and the response kurtosis error is controlled within ±7%, which meets the testing requirements more in line with actual vibration environment.
出处
《中国测试》
CAS
北大核心
2018年第2期93-97,共5页
China Measurement & Test
基金
河北省教育厅资助科研项目(ZD2016108)
河北省青年基金项目(F2014202264)
关键词
振动试验
测控技术
并行控制
超高斯
自适应逆控制
泊松过程
vibration test
measurement and control technology
parallel control
super-Gaussian
adaptive inverse control
Possion process
