基于管道动力学优化有限元模型的卡尔曼滤波研究

Akira Ozawa, K. Sanada
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引用次数: 1

摘要

本研究的目的是利用测量的三点压力值来估计管道中的流体瞬态。本文提出了一种将稳态卡尔曼滤波与管道动力学优化有限元模型相结合的流体瞬态估计方法。该方法可以在不精确设置初始条件的情况下估计流体瞬态。此外,卡尔曼滤波不仅可以估计流量,还可以估计管道内的压力。为了显示卡尔曼滤波的基本性能,本文采用实验值对管道内的流体瞬态进行了离线估计。在离线估计中,估计结果与实验结果吻合较好。验证了在初始值设置不准确的情况下,卡尔曼滤波减小了估计值与实测值之间的误差。此外,还研究了作为卡尔曼滤波参数的传感器噪声和系统噪声的协方差。为了比较,对同一数据采用了非定常流场的离线远程测量方法和特性测量方法。卡尔曼滤波的估计结果与特性法和非定常流场遥测法的结果吻合较好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Study on a Kalman Filter using an Optimized Finite Element Model of Pipeline Dynamics
The purpose of this study is to estimate fl uid transients in a pipe using measured pressure values of three points. In this study, method of estimating fl uid transients by combining a steady-state Kalman fi lter and an optimized fi nite element model of pipeline dynamics is proposed. In this method, fl uid transients can be estimated without accurate setting of initial conditions. Moreover, not only the fl ow rate but also the pressure in a pipe can be estimated by the Kalman fi lter. In this paper, fl uid transients in a pipe were estimated off -line by using experimental values in order to show basic performance of the Kalman fi lter. In this off -line estimation, estimation results show good agreement with experimental results. Moreover, it was confi rmed that the error between the estimation value and the measured value was decreased by the Kalman fi lter when the initial value was not set accurately. In addition, covariances of sensor noise and system noise, which are parameters of the Kalman fi lter, were investigated. For comparison, an off -line remote measurement method for unsteady fl ow and the method of characteristics were applied to the same data. Estimation results of the Kalman fi lter show good agreement with the result of the method of characteristics and the remote measurement method for unsteady fl ow.
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