热交换器串联高级控制

2020 IEEE 15th International Conference of System of Systems Engineering (SoSE) Pub Date : 2020-06-01 DOI:10.1109/SoSE50414.2020.9130477

A. Vasickaninova, M. Bakosová, A. Mészáros

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引用次数: 0

摘要

本文讨论了先进控制方法的设计和应用，假设所考虑的被控系统是一个由四个热交换器串联的冷却系统。选择了基于神经网络模型的预测控制策略、反馈线性化控制和模糊PI控制。对所提出的控制策略的结果进行了研究和验证，并与常规PID控制器和增益调节PID控制器的控制结果进行了比较。结果表明，NNPC和模糊控制可以改善换热器的控制，达到降低冷却水消耗等目的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Advanced Control of Heat Exchangers in Series

The paper deals with the design and application of advanced control approaches assuming the considered controlled system is a cooling system of four heat exchangers in series. Neural network model-based predictive control (NNPC) strategy, feedback linearization control, and fuzzy PI control are chosen. The results of the proposed control strategies are studied and verified and then compared with the results obtained by a conventional PID controller and the gain scheduled PID controller. The results show that NNPC and fuzzy control can improve heat exchangers control and achieve objectives such as reducing cooling water consumption.

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2020 IEEE 15th International Conference of System of Systems Engineering (SoSE)

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