Multivariable adaptive inferential control

被引：0

作者：

Shen, Gwo-Chyau ^{[1
]}

Lee, Won-Kyoo ^{[1
]}

机构：

[1] Ohio State Univ, United States

来源：

Industrial and Engineering Chemistry Research | 1988年 / 27卷 / 10期

关键词：

CONTROL SYSTEMS; ADAPTIVE - CONTROL SYSTEMS; MULTIVARIABLE - CONTROL SYSTEMS--Performance - PROCESS CONTROL--Mathematical Models;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

The technique of adaptive inverse modeling based on deconvolution model has been extended from single-variable adaptive inferential control to multivariable adaptive inferential control. In addition, the adaptive multivariable pole-zero placement controller by Vogel and Edgar is analyzed from the viewpoint of inferential control to facilitate control calculations. Also, an interaction analysis of the adaptive inferential control based on the Vogel-Edgar type inverse model is performed, and several modifications are proposed to reduce the dynamic interaction effect. Simulation results show that each version of the multivariable adaptive inferential control schemes has its own advantages and disadvantages. Therefore, a control system should be designed based on the desired performance criteria.

引用

页码：1863 / 1872

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