基于状态估计的塑料管道实时泄漏隔离

A. Navarro, O. Begovich, G. Besançon, Jean-François Dulhoste
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引用次数: 24

摘要

设计了一种基于状态估计观测器的泄漏检测与隔离(LDI)算法,并对其进行了实时测试。为了解决这种管道中摩擦变化的问题,我们将所谓的Swamee-Jain方程植入摩擦力中,而不是像其他研究那样使用常数参数。然后在时间和空间离散化模型的基础上,将观测器设计为扩展卡尔曼滤波器。泄漏位置未知,空间离散化不均匀,时间变量离散化采用Heun方法。该方法仅假设管道两端有流量和压力传感器,并给出了管道原型数据的实验结果来评估该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real-time leak isolation based on state estimation in a plastic pipeline
A Leak Detection and Isolation (LDI) algorithm based on a State Estimation Observer is designed and tested in real-time to locate a water-leak on a plastic pipeline prototype. In order to tackle the problem of friction variations in such a pipeline, the explicit so-called Swamee-Jain equation is implanted for the friction, instead of a constant parameter as in other studies. The observer is then designed as an Extended Kalman filter on the basis of a discretized model both in time and in space. The space discretization is nonuniform depending on the unknown leak location, and the time variable is discretized with the Heun's method. The approach assumes only flow and pressure sensors at the ends of the duct, and experimental results with data obtained from the pipeline prototype are presented to assess the method efficiency.
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