基于线性卡尔曼滤波器的加香工序数据降噪算法  

Data noise reduction algorithm for flavoring procedure based on linear Kalman filter

作　　者：赵培成 李春华 叶飞 史清英 孙绍波 祁跃东 李林蔚 ZHAO Peicheng;LI Chunhua;YE Fei;SHI Qingying;SUN Shaobo;QI Yuedong;LI Linwei(Yuxi Cigarette Factory,Hongta Tobacco(Group)Co.,Ltd.,Yuxi 653100,Yunnan,China)

机构地区：[1]红塔烟草(集团)有限责任公司玉溪卷烟厂,云南省玉溪市653100

出　　处：《烟草科技》2023年第8期100-106,共7页Tobacco Science & Technology

基　　金：红塔烟草(集团)有限责任公司科技项目“基于设备状态的制丝均质化控制技术研究及应用”(2018GY20)、“以感官质量为导向的制丝数字化控制技术研究与应用”(2022GY10)。

摘　　要：为解决加香工序香精瞬时流量和出口含水率在数据采样过程中存在过程噪声和测量噪声等问题,设计了一种基于线性卡尔曼滤波器的数据降噪算法。该算法通过状态值和测量值从噪声中提取信号,并采用迭代计算方法解决线性滤波问题。以玉溪卷烟厂生产的“玉溪(软)”牌号卷烟为对象进行测试,结果表明:采用线性卡尔曼滤波器进行数据降噪后,在料中阶段,香精瞬时流量的标准差和变异系数分别降低54.83%和54.84%,出口含水率的标准差和变异系数分别降低51.15%和51.15%;在料头料尾阶段,香精瞬时流量和出口含水率降低超调量的同时提高了平滑度。该方法可为提高加香机控制系统可靠性和稳定性提供支持。A data noise reduction algorithm based on the linear Kalman filter was developed to solve the problems of process noise and measurement noise at the time of data acquisition of instantaneous flavoring flow rate and moisture content in output tobacco during tobacco flavoring.It extracts signals from the noises via the values of status and measurement values and solves linear filtering problems by iterative computation.The developed algorithm was tested on the cigarette brand“Yuxi(Soft)”in Yuxi Cigarette Factory.The results showed that at the steady stage of flavoring,the standard deviation and coefficient of variation of the instantaneous flavoring flow rate were reduced by 54.83%and 54.84%,and those of the moisture content in the output tobacco were reduced by 51.15%and 51.15%,respectively,moreover,the over-regulation of the instantaneous flavoring flow rate and moisture content in the output tobacco decreased at the initial and final stages and at the same time their smoothness was also promoted.This method helps to improve the reliability and stability of the tobacco flavoring cylinder control system.

关 键 词：制丝生产 加香工序 卡尔曼滤波器 数据降噪 香精瞬时流量 出口含水率 

分 类 号：TS432[农业科学—烟草工业]