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The Extended Kalman Filter for State Estimation of Dynamic UV Flash Processes

机译:用于动态UV闪存进程的状态估计的扩展卡尔曼滤波器

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We present an extended Kalman filter for state estimation of semi-explicit index-1 differential-algebraic equations. It is natural to model dynamic UV flash processes with such differential-algebraic equations. The UV flash is a mathematical statement of the second law of thermodynamics. It is therefore important to thermodynamically rigorous models of many phase equilibrium processes. State estimation of UV flash processes has applications in control, prediction, monitoring, and fault detection of chemical processes in the oil and gas industry, e.g. separation, distillation, drilling of oil wells, multiphase flow in oil pipes, and oil production. We present a numerical example of a UV flash separation process. It involves soft sensing of vapor-liquid compositions based on temperature and pressure measurements.
机译:我们提出了一个扩展的卡尔曼滤波器,用于半显式索引-1差分代数方程的状态估计。通过这种差分代数方程模拟动态UV闪存过程是自然的。 UV闪存是热力学第二律法的数学陈述。因此,对于许多相平衡过程的热力学性严格模型非常重要。紫外线闪光工艺的状态估计具有油气工业中化学过程的控制,预测,监测和故障检测应用,例如,化学过程。油井中的分离,蒸馏,钻井,油管中的多相流,油生产。我们介绍了UV闪光分离过程的数值例子。它涉及基于温度和压力测量的蒸汽液组合物的柔和感测。

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