西安理工大学学报2017，Vol.33Issue(2)：175-179,5.DOI:10.19322/j.cnki.issn.1006-4710.2017.02.009
基于最小均方自适应滤波的气固两相流参数测量方法
Gas-solid two-phase flow parameter measurement method based on least mean square adaptive filter
摘要
Abstract
In view of the problem that the prior knowledge of the signal and noise is unknown in the parameter measurement of gas-solid two-phase flow,the least mean square adaptive filtering method is used to process the of gas-solid two-phase flow alternating current signal.Using the floating point DSP-TMS320F28335 processor to collect the AC signal of the electrostatic sensor,the collected signals are processed by the least mean square adaptive filtering algorithm.The least mean square adaptive filtering algorithm adjusts the filter weight according to the minimum mean square error criterion to achieve the optimum and the optimal filtering.Finally,based on measuring the velocity of solid-phase flows in real time online on the experimental platform of gas-solid two-phase flow measurement.The experimental results show that the method can improve the accuracy and stability of gas-solid two-phase flow.关键词
气固两相流/交流电信号/最小均方自适应滤波Key words
gas-solid two-phase flow/alternating current signal/least mean square adaptive filtering分类
信息技术与安全科学引用本文复制引用
弋英民,胡香儒,解瑞东,张良,孙路..基于最小均方自适应滤波的气固两相流参数测量方法[J].西安理工大学学报,2017,33(2):175-179,5.基金项目
国家自然科学基金资助项目(51275405) （51275405）
陕西省教育厅科研计划资助项目(15JS066,16JS069) （15JS066,16JS069）
陕西省现代装备绿色制造协同创新中心项目(304-210891702) （304-210891702）
西安市科技计划-高校院所人才服务企业工程资助项目 （）
