| 摘要: |
| 通过离散化输油管道瞬变流动控制方程，基于扩展Kal_滤波方法,用带有未知时变噪声统计的虚拟噪声补 偿线性化模型误差,构造了鲁棒自适应Kalman滤波器,以进出口压力及站间测量点为系统的输人与输出向量,对输油管道进行状态估计,并将状态估计结果与实际运行采集数据进行对比。结果表明,该滤波器迭代收敛速度较快， 其误差控制在3%以内。 |
| 关键词: 管道 状态估计 自适应Kalman滤波 状态方程 分布参数系统 |
| DOI： |
| 分类号: |
| 基金项目:中石油股份公司项目(03030201) |
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| State estimation of oil pipeline based on adaptive Kalman filtering |
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GONG Jing1,AI Jian1,II Xiao-ping1,SONG Sheng-kui2
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(1.Beijing Key Laboratory of Urban Oil and Gas Distribution Technology in Chirm University of Petroleum，Beijing 102249，China;2. Department of Aviation Oil and Material t Xuzhou Airforce College，Xuzhou 221006，China)
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| Abstract: |
| TTie control equations of transient flow on oil pipeline were discretization. Based on extended Kalman filtering method, a robust ad^)tive Kalman filter was designed with noise having uncertain time variant noise statistic, which could corapen-sate linearization model errors. The input vecttH of the distributed parameter system ( DPS) includes pressures at inlet and outlet of pipeline t and the output vector is the middle point of pipeline, so that the pressures and flow rates of pipe sections were estimated 1^ the filter. The errors between the measured and the estimated values the middle point on the oil pipeline were cmrq>ared by means of an exasnple. The results show that the iteration rate is higher and the errors are less than 3%, |
| Key words: pipeline state estimation adaptive Kalman filtering state equation distributed parameter system |
