| 基于混杂策略的预测控制不可行与约束优先级处理 |
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| 引用本文： | 王宇红,黄德先,金以慧. 基于混杂策略的预测控制不可行与约束优先级处理[J]. 中国化学工程学报, 2005, 13(2): 211-217 |
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| 作者姓名： | 王宇红 黄德先 金以慧 |
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| 作者单位： | [1]DepartmentofAutomation,TsinghuaUniversity,Beijing100084,China [2]DepartmentofAutomation,TsinghuaUniversity,Beijing100084,China／／CollegeofInformationandControlEngineering,UniversityofPetroleum,Dongying257061,China |
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| 基金项目： | Supported by the 973 Program (No. 2002CB312200)National High Tech. Project of China (863/CIMS 2004AA412050). |
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| 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.
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| 关 键 词： | 预控制模型 炼油工业 生产工艺 石油化工工业 软件 优化方法 混合系统 |
| 修稿时间： | |
A Hybrid Model Predictive Control for Handling Infeasibility and Constraint Prioritization |
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| WANG Yuhong,HUANG Dexian,JIN Yihui. A Hybrid Model Predictive Control for Handling Infeasibility and Constraint Prioritization[J]. Chinese Journal of Chemical Engineering, 2005, 13(2): 211-217 |
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| Authors: | WANG Yuhong HUANG Dexian JIN Yihui |
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| Affiliation: | Department of Automation,Tsinghua University,Beijing 100084,China;College of Information and Control Engineering,University of Petroleum,Dongying 257061,China;Department of Automation,Tsinghua University,Beijing 100084,China |
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| Abstract: | 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. |
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| Keywords: | model predictive control feasibility mixed logical dynamical system priority hybrid system |
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