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

作　　者：苏佰丽 陈增强 袁著祉 

机构地区：[1]Department of Automation, Nankai University, Tianjin 300071, China [2]Department of Antomation Qufu Normal University, Qufu 273165, China

出　　处：《Chinese Journal of Chemical Engineering》2006年第2期216-222,共7页中国化学工程学报（英文版）

基　　金：Supported by the National Natural Science Foundation of China (No.60374037, No.60574036), the Program for New Century Excellent Talents in University of China (NCET), and the Specialized Research Fund for the Doctoral Program of Higher Edu-cation of China (No.20050055013).

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 demon- strate the effectiveness of this proposed strategy.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 

分 类 号：TP29[自动化与计算机技术—检测技术与自动化装置]