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基于自适应Kalman滤波的输油管道状态估计
引用本文:宫敬,才建,李晓平,宋生奎. 基于自适应Kalman滤波的输油管道状态估计[J]. 中国石油大学学报(自然科学版), 2008, 32(6)
作者姓名:宫敬  才建  李晓平  宋生奎
作者单位:1. 中国石油大学城市油气输配技术北京市重点实验室,北京,102249
2. 徐州空军学院航空油料物资系,江苏徐州,221006
基金项目:中石油股份公司项目  
摘    要:通过离散化输油管道瞬变流动控制方程,基于扩展Kalman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入与输出向量,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

State estimation of oil pipeline based on adaptive Kalman filtering
GONG Jing,CAI Jian,LI Xiao-ping,SONG Sheng-kui. State estimation of oil pipeline based on adaptive Kalman filtering[J]. Journal of China University of Petroleum (Edition of Natural Sciences), 2008, 32(6)
Authors:GONG Jing  CAI Jian  LI Xiao-ping  SONG Sheng-kui
Affiliation:GONG Jing1,CAI Jian1,LI Xiao-ping1,SONG Sheng-kui 2(1.Beijing Key Laboratory of Urban Oil , Gas Distribution Technology in China University of Petroleum,Beijing 102249,China,2.Department of Aviation Oil , Material,Xuzhou Airforce College,Xuzhou 221006,China)
Abstract:The control equations of transient flow on oil pipeline were discretization.Based on extended Kalman filtering method,a robust adaptive Kalman filter was designed with fictitious noise having uncertain time variant noise statistic,which could compensate linearization model errors.The input vector of the distributed parameter system(DPS) includes pressures at inlet and outlet of pipeline,and the output vector is the middle point of pipeline,so that the pressures and flow rates of pipe sections were estimated...
Keywords:pipeline  state estimation  adaptive Kalman filtering  state equation  distributed parameter system  
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