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Flowrate Measurement in a Pipe Using Kalman-Filtering Laminar Flowmeter

机译:使用卡尔曼滤波层流量计的管道流量测量

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摘要

A laminar flowmeter that estimates the unsteady flowrate in a pipe using a Kalman filter is proposed. The laminar flowmeter has 32 narrow pipes. Kalman filtering is applied to one of the narrow pipes to estimate its flowrate. Three pressure sensors are connected to the narrow pipe. Upstream and downstream pressure signals are applied to a model of pipeline dynamics. The midpoint pressure is calculated and compared with the measured value. The error signal is fed back to the model. According to the principle of the Kalman filter, the estimated flowrate converges to the real flowrate. The Kalman-filtering estimation is conducted in a real-time computing system. In this study, the steady flowrate in a pipe is estimated and calibrated with measured data. The proposed Kalman-filtering-based laminar flowmeter demonstrates very promising performance.
机译:提出了一种层状流量计,其估计使用卡尔曼滤波器的管道中的不稳定流量。 层流量计有32个窄管。 卡尔曼滤波应用于一个窄管之一以估计其流量。 三个压力传感器连接到窄管。 上游和下游压力信号应用于管道动态的模型。 计算中点压力并与测量值进行比较。 错误信号被送回模型。 根据卡尔曼滤波器的原理,估计的流量会聚到真实流量。 卡尔曼滤波估计在实时计算系统中进行。 在该研究中,用测量数据估计和校准管道中的稳定流量。 所提出的基于卡尔曼滤波的层流量计表明了非常有前途的性能。

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