热集成精馏塔系统时变参数的估计

Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788) Pub Date : 2004-06-15 DOI:10.1109/WCICA.2004.1343170

Xuemei Zhu, Shuqing Wang, Pu Li, G. Wozny

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引用次数: 4

摘要

实时动态优化和非线性模型预测控制需要严格的模型。该模型的时变参数估计一直是一项具有挑战性的任务。在这项工作中，我们提出了一种动态优化的方法来解决这个问题。根据温度和流速的测量数据，估计了热集成精馏塔系统中随时间变化的塔板效率和未测量的进料成分。为了提高多参数系统的辨识度，引入了可调节的权重因子。结果表明，该方法具有令人满意的估计效果。

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Estimation of time-dependent parameters of a heat-integrated distillation column system

A rigorous model is required for real-time dynamic optimization and nonlinear model predictive control. The estimation of time-dependent parameters of such a model has been a challenging task. In this work, we propose a method to solve this problem by dynamic optimization. Time-dependent tray efficiencies and the unmeasured feed composition in a heat-integrated distillation column system are estimated based on the measured data of temperatures and flow rates. Adjustable weighting factors are introduced to enhance the identifiability of the multi-parameter system. The results show a satisfactory estimation by using this approach.

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Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788)

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