聚合反应器神经模糊模型的建立

2022 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM) Pub Date : 2022-05-16 DOI:10.1109/ICIEAM54945.2022.9787112

A. G. Lopatin, B. A. Brykov, A. Lukina

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引用次数: 0

摘要

提出了一种应用自适应神经模糊推理系统综合工业控制对象模糊模型的通用算法。以典型聚合反应器为例，建立了模型。给出了模糊模型的合成阶段、建模的初始条件、模型框图和仿真建模结果。结果表明，模糊模型的结果与初始数据具有较好的收敛性。结果表明，本文提出的模糊模型综合算法可以适用于任何控制对象，如反应器。

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Development of a Neuro-fuzzy Model of a Polymerizer Reactor

The article proposes an universal algorithm for the synthesis of fuzzy models of industrial control objects using adaptive neuro-fuzzy inference system. A typical polymerizer reactor is used as an example to create a model. The stages of synthesis a fuzzy model, the initial conditions of modeling, the block diagram of the model and the results of simulation modeling are given. A good convergence of the results of the fuzzy model and the initial data is shown. It is shown that the presented algorithm for the synthesis of fuzzy models can be adapted to any control object such as a reactor.

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2022 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)

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