STATE-SPACE PREDICTIVE CONTROL (REPRINTED FROM CHEMICAL-ENGINEERING SCI, VOL 47, PG 787-807, 1992)

被引：48

作者：

BALCHEN, JG ^{[1
]}

LJUNGQUIST, D ^{[1
]}

STRAND, S ^{[1
]}

机构：

[1] SINTEF AUTOMAT CONTROL, N-7034 TRONDHEIM, NORWAY

来源：

MODELING IDENTIFICATION AND CONTROL | 1992年 / 13卷 / 02期

关键词：

PREDICTIVE CONTROL; STATE-SPACE METHODS; NONLINEAR CONTROL SYSTEM; OPTIMAL CONTROL; ITERATIVE METHODS; ONLINE OPERATION; CATALYTIC CRACKING;

D O I：

10.4173/mic.1992.2.2

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper deals with a predictive control strategy based on state-space models. Important issues concerning inherent model identification and optimal control computation are briefly discussed. Predictive control relies heavily on a model with satisfactory predictive capabilities. An off-line identification procedure must be accomplished to obtain a proper model structure and a parameter set, which is required for on-line adjustment. The control calculation is based on a general performance index and parameterization of the control variables in a nonlinear model, which includes the relevant constraints. This results in a finite-dimensional optimization problem which can be repetitively solved on-line. Simulation studies on two very different, typical industrial processes are presented. The simulations show that this MPC technique offers a major improvement in the control of many industrial processes.

引用

页码：77 / 112

页数：36

共 60 条

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[2]

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[3]

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