Industrial practice of soft sensor based predictive control in fluid catalytic cracking processes

被引：0

作者：

Yang, SH ^{[1
]}

Wang, XZ ^{[1
]}

McGreavy, C ^{[1
]}

Chen, QH ^{[1
]}

机构：

[1] Loughborough Univ Technol, Dept Chem Engn, Loughborough LE11 3TU, Leics, England

来源：

DYNAMICS & CONTROL OF PROCESS SYSTEMS 1998, VOLUMES 1 AND 2 | 1999年

关键词：

fluid catalytic cracking; model-based control; estimator; soft sensors;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The operation of Fluid Catalytic Cracking (FCC) processes exhibits strongly nonlinear and highly interactive dynamic behavior as well as having poorly understood reaction kinetics with many unmeasured operating variables which can play a key role in determining performance and give rise to difficult control problems. Soft sensors, which use easily measured and continuously available temperature, pressure and flowrate measurements along with system models which make use of conservation equations to assimilate on-line learning parameters are essential for advanced control. This article reports the application of a predictive control strategy using a soft sensor on an existing industrial FCC unit. Copyright (C) 1998 IFAC.

引用

页码：423 / 428

页数：6

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