基于Aspen Dynamics的对二甲苯氧化反应器的多变量预测控制（英文）  

Multivariable Model Predictive Control of p-Xylene Oxidation Process Based on Aspen Dynamics

作　　者：陶莉莉[1] 胡志华[1] 

机构地区：[1]上海第二工业大学智能制造与控制工程学院,上海201209

出　　处：《上海第二工业大学学报》2015年第4期317-324,共8页Journal of Shanghai Polytechnic University

基　　金：上海第二工业大学重点学科建设项目(No.XXKPY1308);上海第二工业大学校基金(No.EGD14XQD02);上海高校青年教师培养资助计划(No.ZZegd14013)资助

摘　　要：精对苯二甲酸(Pured Terepthalic Acid,PTA)作为工业上生产聚酯的重要原料,主要是由对二甲苯(p-xylene,PX)在高温下液相催化氧化获得。PX氧化的生产过程是一个多变量、多尺度、动态、强耦合、非线性的复杂系统,而目前工业上应用较多的传统单回路PID(比例、积分、微分)控制在处理复杂的多变量系统时存在很多不足。为此,在所建立的基于Aspen Dynamics的PX氧化反应器动态模型基础上,采用动态矩阵多变量预测控制(DMC)方法对反应器的平稳控制进行仿真研究。仿真结果表明,由于该动态模型是基于机理建立的,能够较好反映实际工业反应过程,以此为基础建立的DMC多变量预测控制方法对对PX氧化反应过程的平稳控制具有良好的效果,可以作为指导工业预测控制实施的依据。Terephthalic acid （TPA） is one of the main raw materials used to produce polyester. In industry, most of TPA is produced by the liquid-phase catalytic oxidation of p-xylene （PX）. PX oxidation process is a multivariable, strong-coupling, nonlinear and complicated system. On the basis of the steady-state model established previously, a dynamic model with PID controllers was established and the dynamic responses of the process have been studied. Due to the deficiency of the traditional single input single output （SISO） PID control, the multivariable model predictive control is implemented on the dynamic model. Simulation results of the control system show that model predictive control （MPC） based on mechanism model can greatly reduce production fluctuation and realize a smooth running process. This can serve as the foundation of the smooth operation and advanced control strategy of this process.

关 键 词：ASPEN DYNAMICS 对二甲苯氧化反应器 多变量预测控制 

分 类 号：TQ245.12[化学工程—有机化工]