Selection of control structure for distributed model predictive control in the presence of model errors

作     者：Al-Gherwi, Walid Budman, Hector Elkamel, Ali 

作者机构：Univ Waterloo Dept Chem Engn Waterloo ON N2L 3G1 Canada 

出 版 物：《JOURNAL OF PROCESS CONTROL》 (工艺过程控制杂志)

年 卷 期：2010年第20卷第3期

页      面：270-284页

核心收录：

学科分类：0711[理学-系统科学] 07[理学] 0817[工学-化学工程与技术] 08[工学] 070105[理学-运筹学与控制论] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 0701[理学-数学] 071101[理学-系统理论] 

基　　金：Higher Education Program of Libya National Science and Engineering Research Council of Canada (NSERC) 

主　　题：Selection of control structure Distributed model predictive control Linear matrix inequalities Robust control 

摘      要：This paper presents a new methodology for selecting control structure in the context of distributed model predictive control. An index was developed to quantify the performance of distributed MPC strategies in the presence of model errors. This index was used for two purposes: to solve the decomposition problem whereby the process is decomposed into parts and to compare distributed MPC strategies with different degrees of coordination. Then, a multi-objective Mixed Integer Nonlinear Programming MINLP formulation is proposed to achieve an optimal trade-off between performance and structure simplicity. Four examples are considered to illustrate the methodology. The simulation results are consistent with the conclusions obtained from the analysis. The proposed methodology can be applied at the design stage to select the best control configuration in the presence of model errors. (C) 2009 Elsevier Ltd. All rights reserved.