带约束输入的多变量广义预测解耦控制及其在化工过程中的应用

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带约束输入的多变量广义预测解耦控制及其在化工过程中的应用

苏佰丽^a,b; 陈增强^a; 袁著祉^a

^a Department of Automation, Nankai University, Tianjin 300071, China
^b Department of Antomation Qufu Normal University, Qufu 273165, China

收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2006-04-28 发布日期:2006-04-28
通讯作者: 陈增强

Multivariable Decoupling Predictive Control with Input Constraints and Its Application on Chemical Process

SU Baili^a,b; CHEN Zengqiang^a; YUAN Zhuzhi^a

^a Department of Automation, Nankai University, Tianjin 300071, China
^b Department of Antomation Qufu Normal University, Qufu 273165, China

Received:1900-01-01 Revised:1900-01-01 Online:2006-04-28 Published:2006-04-28
Contact: CHEN Zengqiang

摘要/Abstract

摘要： A constrained decoupling (generalized predictive control) GPC algorithm is proposed for MIMO (malti-input multi-output) system. This algorithm takes account of all constraints of inputs and their increments. By solving matrix equations, the multi-step predictive decoupling controllers are realized. This algorithm need not solve Diophantine functions, and weakens the cross-coupling of the variables. At last the simulation results demonstrate the effectiveness of this proposed strategy.

关键词: chemical process control;multivariable system;optimization;predictive control;input constraint

Abstract: A constrained decoupling (generalized predictive control) GPC algorithm is proposed for MIMO (malti-input multi-output) system. This algorithm takes account of all constraints of inputs and their increments. By solving matrix equations, the multi-step predictive decoupling controllers are realized. This algorithm need not solve Diophantine functions, and weakens the cross-coupling of the variables. At last the simulation results demonstrate the effectiveness of this proposed strategy.

Key words: chemical process control, multivariable system, optimization, predictive control, input constraint

苏佰丽, 陈增强, 袁著祉. 带约束输入的多变量广义预测解耦控制及其在化工过程中的应用[J]. , DOI: .

SU Baili, CHEN Zengqiang, YUAN Zhuzhi. Multivariable Decoupling Predictive Control with Input Constraints and Its Application on Chemical Process[J]. , DOI: .

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