Nonlinear Observer Design for Process Monitoring
Nonlinear Observer Design for Process Monitoring
复制标题
用于过程监控的非线性观测器设计
DOI：
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发表时间：
2000
期刊：
影响因子：
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通讯作者：
R. A. Wright
中科院分区：
文献类型：
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作者：
N. Kazantzis;C. Kravaris;R. A. Wright
本工作提出了一个系统的非线性观测器设计框架的过程监控。我们的目标是准确地监测与过程安全或产品质量相关的关键过程变量，通过设计一个基于模型的非线性观测器，直接利用来自连续时间在线过程输出测量的可用信息。非线性观测器具有一个状态相关的增益，这是从一阶线性偏微分方程（PDE）的系统的解决方案计算。根据过程是以连续模式还是间歇模式操作，需要对偏微分方程系统进行不同的数学处理和求解方案。在所提出的设计框架内，全阶和降阶观测器进行了研究。最后，在两个化学工程实例中评估了所提出的观测器的性能：（1）催化间歇反应器，其目标是准确地估计催化剂活性和（2）放热CSTR，其表现出稳态多重性和反应释放的热量需要密切监测。
The present work proposes a systematic nonlinear observer design framework for process monitoring. The objective is to accurately monitor key process variables associated with process safety or product quality, by designing a model-based nonlinear observer that directly utilizes the available information coming from continuous-time on-line process output measurements. The nonlinear observer possesses a state-dependent gain which is computed from the solution of a system of first-order linear partial differential equations (PDEs). Depending on whether the process operates in continuous or batch mode, a different mathematical treatment and solution scheme for the system of PDEs is needed. Within the proposed design framework, both full-order and reduced-order observers are studied. Finally, the performance of the proposed observer is evaluated in two chemical-engineering examples: (1) a catalytic batch reactor where the objective is to accurately estimate the catalyst activity and (2) an exothermic CSTR that exhibits steady-state multiplicity and the heat released by the reaction needs to be closely monitored.