Multivariable Generalized Predictive Control Based on Receding Feedback Correction in Binary Distillation Process

被引：0

作者：

Li Chaochun ^{[1
]}

Tao Lili ^{[1
]}

Cheng Hui ^{[1
]}

Qi Rongbin ^{[1
]}

Qian Feng ^{[1
]}

机构：

[1] East China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Minist Educ, Shanghai 200237, Peoples R China

来源：

PROCEEDINGS OF THE 10TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA 2012) | 2012年

基金：

中国国家自然科学基金;

关键词：

generalized predictive control; receding feedback correction; Soft factor; Correction factor;

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：

An improved generalized predictive control (GPC) algorithm has been proposed in this paper. In order to cut off computation burden and get good performance of disturbance rejection, receding feedback correction mechanism is used to reject the disturbance instead of the traditional online identification mechanism. Furthermore, two factors are presented to tune for good dynamic performance. Simulation has been carried out with a binary distillation process model, named wood& berry model, which is a typical multivariable process. The simulation result proves the efficiency of proposed algorithm.

引用

页码：1098 / 1102

页数：5

共 8 条

[1]

[Anonymous], 1980, paper No. WP5-B, DOI DOI 10.1109/JACC.1980.4232009

[2] GENERALIZED PREDICTIVE CONTROL .1. THE BASIC ALGORITHM [J].