摘要
为提高科氏流量计信号的初始收敛速度和频率跟踪精度,提出了一种频率解算的新方法:首先采用基于burg算法实现的格型IIR自适应陷波器对信号滤波,并短时间跟踪信号频率,其接近收敛时基于简化梯度算法实现的格型自适应陷波器开始并行工作,待简化梯度算法实现的格型自适应陷波器收敛后,前者停止工作,简化梯度算法实现的格型自适应陷波器持续工作直至结束。仿真及实验结果表明,本方法可以获得更快的收敛速度、更高的频率跟踪精度。
This paper presents a new method of frequency calculation to improve Coriolis Mass Flowmeter signal frequency tracking convergence speed and accuracy.Firstly,based on Burg algorithm,lattice type IIR adaptive notch filter is adopted for signal filtering and tracks signal frequency in short time,then based on simplifying gradient algorithm lattice adaptive trap filter begins to work in parallel after the signal is converged,which continue working to the end.At the same time,based on Burg algorithm,lattice type IIR adaptive notch filter stops its work after convergence.Through experimental and simulation results the conclusions show that signals converge faster and tracking accuracy is higher.
出处
《传感技术学报》
CAS
CSCD
北大核心
2012年第8期1093-1096,共4页
Chinese Journal of Sensors and Actuators
基金
国家自然科学基金项目(60974109)
关键词
科氏流量计
频率解算
Burg算法
格型自适应陷波器
简化梯度算法
Coriolis mass flowmeter
frequency calculation
Burg algorithm
lattice adaptive notch filter
simplifying gradient algorithm
