Online model predictive control of industrial processes using low level control hardware: A pilot-scale distillation column case study

被引：33

作者：

Huyck, Bart ^{[1
,2
]}

De Brabanter, Jos ^{[2
]}

De Moor, Bart ^{[2
]}

Van Impe, Jan F. ^{[1
]}

Logist, Filip ^{[1
]}

机构：

[1] Katholieke Univ Leuven, Dept Chem Engn CIT BioTeC, B-3001 Louvain, Belgium

[2] Katholieke Univ Leuven, Dept Elect Engn ESAT STADIUS, B-3001 Louvain, Belgium

来源：

CONTROL ENGINEERING PRACTICE | 2014年 / 28卷

关键词：

Online MPC; Linear MPC; PLC; PAC; Pilot-scale distillation column; IMPLEMENTATION;

D O I：

10.1016/j.conengprac.2014.02.016

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Throughout the years, the computing power of industrial controllers has steadily increased. Together with the development of efficient quadratic program (QP) solvers, this raises the question whether these devices can host an online model predictive controller (MPC). The applicability of online MPC is investigated using a programmable automation controller (PAC) and a programmable logic controller (PLC) for the control of an industrially relevant process, i.e., a pilot scale distillation column. It is demonstrated that both devices are capable of hosting MPC, however the limitations of the PLC are reached for the investigated set-up. Finally, guidelines and pitfalls for use in practice are highlighted. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：34 / 48

页数：15

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