ROBUST INFERENTIAL CONTROL OF MULTIRATE SAMPLED-DATA SYSTEMS

被引：33

作者：

LEE, JH ^{[1
]}

MORARI, M ^{[1
]}

机构：

[1] CALTECH,PASADENA,CA 91125

来源：

CHEMICAL ENGINEERING SCIENCE | 1992年 / 47卷 / 04期

关键词：

Generalized inferential control - Internal model control - Model predictive control - Multirate sampled data control systems;

D O I：

10.1016/0009-2509(92)80273-F

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

A framework called generalized inferential control (GIC) is established for designing robust, linear inferential control systems for multi-rate sampled-data systems. Practical issues such as model/plant mismatch, constraints, and actuator/measurement failure tolerance are addressed rigorously in the GIC framework. Various H-2-optimal design techniques such as linear quadratic Gaussian (LQG), model-predictive control (MPC), and internal model control (IMC) are discussed and extended in the context of GIC. In addition, a connection between MPC and IMC is established and a method for replacing the "difficult-to-select" covariance and weighting matrices with more direct, on-line-tunable parameters is proposed. The proposed design methods are applied to a high-purity distillation column.

引用

页码：865 / 885

页数：21