Research on State Estimation of Oil Pipeline Considering Adaptive Extended Kalman Filtering

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.