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Comparison of Two Identification Models Used in Adaptive Control of Continuous-Stirred Tank Reactor

机译:连续搅拌釜反应器自适应控制中两种辨识模型的比较

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摘要

The goal of this paper is to compare two identification methods continuous-time and discrete-time. The continuous-time identification model is more accurate but not very suitable for on-line identification. This disadvantage was overcome with the use of differential filters. On the other hand, discrete-time identification model has is more suitable for identification but less accurate. Compromise can be found in the delta model as a special type of the discrete-time model parameters of which are related to the sampling period. The adaptive approach is based on the choice of the External Linear Model, parameters of which are identified recursively which satisfies the adaptivity of this system. Proposed control strategy was applied on the mathematical model of the Continuous Stirred-Tank reactor as a typical nonlinear lumped-parameters system used in the industry.
机译:本文的目的是比较连续时间和离散时间两种识别方法。连续时间识别模型更准确,但不太适合在线识别。通过使用差分滤波器克服了这个缺点。另一方面,离散时间识别模型更适合于识别,但准确性较低。折衷可以在增量模型中找到,作为离散时间模型参数的一种特殊类型,其参数与采样周期有关。自适应方法基于外部线性模型的选择,该模型的参数递归地确定,从而满足该系统的适应性。拟议的控制策略被应用到连续搅拌釜反应器的数学模型中,作为工业上使用的典型非线性集总参数系统。

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