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面向时变信号模型的科氏质量流量传感器信号处理方法的实现与测试 被引量:7

Implementation and Test of Signal Processing Method of Coriolis Mass Flow Sensor for Time-varying Signal Model
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摘要 针对科氏质量流量传感器时变信号模型,研制以TMS320F2812DSP芯片为核心的数字信号处理系统,采用自适应陷波滤波和SGA算法,实时实现处理时变信号。由信号发生器、信号处理系统和PC构建了测试平台,解决时变信号发生和信号处理方法测试的问题。测试结果表明,该系统和实现的算法是有效的。 Aiming at the time-varying signal model of Coriolis mass flow sensor, a digital signal processing system is developed with TMS320F2812 DSP chip, and the adaptive notch filter and sliding Goertzel algorithm are adopted to process the time-varying signal in real time. A testing platform is built with a signal generator, the signal processing system and a person computer in order to solve the problems of generation and testing of the time-varying signal. The test results show that the system and algorithms studied are effective.
出处 《计量学报》 CSCD 北大核心 2010年第4期325-329,共5页 Acta Metrologica Sinica
基金 基金项目:国家“863”计划(2009AA042128) 合肥工业大学专利转化基金(2008HGCZ0523)
关键词 计量学 科里奥利质量流量计 时变信号模型 自适应陷波滤波 滑动Goertzel算法 数字信号处理器 Metrology Coriolis mass flowmeter Time varying signal model Adaptive notch filter Sliding Goertzel algorithm Digital signal processor
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