• 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