详细信息
Dynamic modeling and control of industrial crude terephthalic acid hydropurification process ( SCI-EXPANDED收录)
文献类型:期刊文献
英文题名:Dynamic modeling and control of industrial crude terephthalic acid hydropurification process
作者:Li, Zhi[1];Zhong, Weimin[1];Liu, Yang[1];Luo, Na[1];Qian, Feng[1]
机构:[1]E China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Minist Educ, Shanghai 200237, Peoples R China
年份:2015
卷号:32
期号:4
起止页码:597
外文期刊名:KOREAN JOURNAL OF CHEMICAL ENGINEERING
收录:;WOS:【SCI-EXPANDED(收录号:WOS:000352620600004)】;
基金:This study is supported by the Major State Basic Research Development Program of China (2012CB720500), National Natural Science Foundation of China (U1162202, 61174118), Fundamental Research Funds for the Central Universities and Shanghai R&D Platform Construction Program (13DZ2295300), Shanghai Leading Academic Discipline Project (B504), and the State Scholarship Fund of China (CSC:201206745009).
语种:英文
外文关键词:Terephthalic Acid; Hydropurification Reaction; Dynamic Modeling; Multivariable Predictive Control; DMC Plus
摘要:Purified terephthalic acid (PTA) is critical to the development of the polyester industry. PTA production consists of p-xylene oxidation reaction and crude terephthalic acid (CTA) hydropurification. The hydropurification process is necessary to eliminate 4-carboxybenzaldehyde (4-CBA), which is a harmful byproduct of the oxidation reaction process. Based on the dynamic model of the hydropurification process, two control systems are studied using Aspen Dynamics. The first system is the ratio control system, in which the mass flows of CTA and deionized water are controlled. The second system is the multivariable predictive control-proportional-integral-derivative cascade control strategy, in which the concentrations of 4-CBA and carbon monoxide are chosen as control variables and the reaction temperature and hydrogen flow are selected as manipulated variables. A detailed dynamic behavior is investigated through simulation. Results show that the developed control strategies exhibit good control performances, thereby providing theoretical guidance for advanced control of industry-scale PTA production.
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