A Hybrid Model Predictive Control for Handling Infeasibility and Constraint Prioritization  

作　　者：王宇红 黄德先 金以慧 

机构地区：[1]Department of Automation Tsinghua University, Beijing 100084, China,College of Information and Control Engineering,University of Petroleum, Dongying 257061, China [2]Department of Automation Tsinghua University,Beijing 100084,China

出　　处：《Chinese Journal of Chemical Engineering》2005年第2期211-217,共7页中国化学工程学报（英文版）

基　　金：Supported by the 973 Program (No. 2002CB312200)National High Tech. Project of China (863/CIMS 2004AA412050).

摘　　要：A hybrid approach using MLD (mixed logical dynamical) framework to handle infeasibility and constraint prioritization issues in MPC (model predictive control) based on input-output model is introduced. By expressing constraint priorities as propositional logics and by transforming the propositional logics into inequalities,the infeasibility and constraint prioritization issues are solved in the MPC. Constraints with higher priorities are met first, and then these with lower priorities are satisfied as much as possible. This new approach is illustrated in the control of a heavy oil fractionator-Shell column. The overall control performance has been significantly improved through the infeasibility and control priorities handling.A hybrid approach using MLD (mixed logical dynamical) framework to handle infeasibility and constraint prioritization issues in MPC (model predictive control) based on input-output model is introduced. By expressing constraint priorities as propositional logics and by transforming the propositional logics into inequalities, the infeasibility and constraint prioritization issues are solved in the MPC. Constraints with higher priorities are met first, and then these with lower priorities are satisfied as much as possible. This new approach is illustrated in the control of a heavy oil fractionator-Shell column. The overall control performance has been significantly improved through the infeasibility and control priorities handling.

关 键 词：model predictive control FEASIBILITY mixed logical dynamical system PRIORITY hybrid system 

分 类 号：TQ018[化学工程]