DocumentCode :
3404588
Title :
Research on State Estimation of Oil Pipeline Considering Adaptive Extended Kalman Filtering
Author :
Gong, Jing ; Cai, Jian ; Li, Xiaoping ; Song, Shengkui
Author_Institution :
China Univ. of Pet., Beijing
fYear :
2007
fDate :
5-8 Aug. 2007
Firstpage :
1294
Lastpage :
1298
Abstract :
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.
Keywords :
adaptive Kalman filters; distributed parameter systems; monitoring; pipelines; state estimation; adaptive extended Kalman filtering; distributed parameter system; monitoring control; noise compensation; oil pipeline; robust adaptive Kalman filter; state estimation; transient flow control equation; Adaptive filters; Distributed parameter systems; Equations; Filtering; Kalman filters; Lubricating oils; Noise robustness; Petroleum; Pipelines; State estimation; adaptive; distributed parameter system; extended Kalman filtering; pipeline; state estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation, 2007. ICMA 2007. International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-0828-3
Electronic_ISBN :
978-1-4244-0828-3
Type :
conf
DOI :
10.1109/ICMA.2007.4303736
Filename :
4303736
Link To Document :
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