人工智能控制在反应精馏中的应用综述

Vandana Sakhre
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引用次数: 0

摘要

本章对反应精馏过程控制的研究进展进行了综述,包括常规控制与软测量控制、膜辅助反应精馏设计与仿真、估计与控制等。对不同维度的文献进行回顾,以探索该领域研究工作的机会。本章重点介绍了反应精馏的动力学和控制,使用常规技术的控制,模型预测控制(MPC),使用软传感器/软控制器的反应精馏,膜辅助反应精馏,反应分壁塔中的生物柴油:设计和控制以及膜反应分壁塔。许多研究者提出并分析了这些控制技术。这些技术在过程工业中有潜在的用途,可以更好地对非线性过程进行软测量控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Review on AI Control of Reactive Distillation for Various Applications
In this chapter, previous studies on reactive distillation process control including control using conventional as well as soft sensor control, membrane assisted reactive distillation design and simulation, estimation and control are discussed. The review of literature in different dimensions is carried out to explore the opportunities in the field of research work. The chapter is focused on dynamics and control of Reactive distillation, its control using Conventional Techniques, Model Predictive Control MPC), Reactive Distillation using Soft Sensors/Soft Controllers, Membrane assisted reactive distillation, Biodiesel in Reactive Divided Wall Column: Design and Control and Membrane reactive divided wall column. These control techniques are proposed and analyzed by many researchers. These techniques have potential use in process industries to have better soft sensor control of nonlinear processes.
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