摘要
为了改善液压振动台功率谱密度复现的精度和实时性,引入了自适应逆控制的系统辨识技术。在分析液压振动台功率谱密度均衡原理的基础上,推导时域自适应逆控制(Adaptive inverse control-AIC)和频域逆控制来实时获得振动系统的阻抗函数用以高精度实时修正控制谱密度。文中给出一种多处理器协同工作的硬件平台方案,将实时控制的任务进行分解;最后通过双端口RAM实现数据共享,从而实现功率谱密度的实时复现。仿真实验结果表明:频域自适应逆控制较时域自适应逆控制更利于改善功率谱密度复现的精度和实时性。
Adaptive inverse control （AIC） method was introduced to identify the impedance function of a hydraulic shaking table online, it was also beneficial to improve the accuracy and real-time processing of its power spectral density （PSD） replication. The AIC system identification technology in both time domain and frequency domain was deduced after the introduction of power spectral density equalization principle. The inverse computation to obtain the system impedance function often applied in traditional methods was not employed in this technology. The control power spectral density was modified using the results of the system impedance function estimated with the proposed technology more efficiently than with traditional methods. A hardware platform with multi-processor was introduced to accomplish the proposed algorithm. The different real time tasks were assigned to different processors. The dual port RAM was applied to fulfill the data sharing among the processors. The results of simulation showed that the proposed algorithm is efficient in PSD replication process of the shaking table. Meanwhile, the result of AIC in frequency domain is more desirable than that in time domain.
出处
《振动与冲击》
EI
CSCD
北大核心
2013年第20期151-155,共5页
Journal of Vibration and Shock
基金
国家自然科学基金资助项目(51105096)
关键词
液压振动台
功率谱密度
自适应逆控制
X滤波LMS算法
hydraulic shaking table
power spectral density
adaptive inverse control
X-filtered LMS algorithm
