Research on state estimation of oil pipeline considering adaptive extended Kalman filtering

被引：5
|
作者：
Gong, Jing [1 ]
Cai, Jian [1 ]
Li, Xiaoping [1 ]
Song, Shengkui [2 ]
机构：
[1] China Univ Petr, Beijing Key Lab Urban Oil & Gas Distribut Technol, Beijing 102249, Peoples R China
[2] Xuzhou Airforce Coll, Dept Aviat Oil & Mat, Xuzhou 221006, Peoples R China
来源：
2007 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, VOLS I-V, CONFERENCE PROCEEDINGS | 2007年
关键词：
adaptive; pipeline; state estimation; extended Kalman filtering; distributed parameter system;
D O I：
10.1109/ICMA.2007.4303736
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The control equation of transient flow on oil pipeline was discretized. Based on extended Kalman filtering, the robust adaptive Kalman filter was designed with fictitious noise compensation method. The input and output vector of the distributed parameter system (DPS) were created to observe pressures at inlet, outlet and at the middle of the pipeline. The pressures and the flow of pipe sections were estimated by the filter. By means of an example, the errors between the measured values and the estimated values of the mid point on the oil pipeline were compared. The results show that the iteration rate is quicker and the errors are controlled within 3%. This, in turns, can offer a good scheme for monitoring control and operation of the oil pipeline.
引用
收藏
页码：1294 / +
页数：2
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