Batch control improvement by model predictive control based on multiple reduced-models

被引:12
作者
Konakom, Kwantip [1 ]
Kittisupakorn, Paisan [1 ]
Mujtaba, Iqbal M. [2 ]
机构
[1] Chulalongkorn Univ, Dept Chem Engn, Bangkok 10330, Thailand
[2] Univ Bradford, Sch Engn Design & Technol, Bradford BD7 1DP, W Yorkshire, England
关键词
Model predictive control; Exothermic batch reactor; Model-reduction; Multiple models;
D O I
10.1016/j.cej.2008.07.043
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In this research study, model predictive control (MPC) utilizing multiple reduced-models running in series is developed and studied to investigate an improved temperature-control performance of an exothermic batch reactor. Three steps of batch-model construction are presented, which involve (i) a reference-profile determination, (ii) an operating-condition selection and (iii) a model-reduction. Different pseudo steady-states conditions are properly selected along the closed-loop reference profiles with regards to overall closed-loop poles of the system. The models further individually determined their minimal-phases to attain only controllable and observable states. Consequently. different model-orders can be chosen corresponding to their controllability and observability. Simulation results have shown that, in a nominal case, the proposed controller provides control performances as good as a single-model based controller does. However, in presences of plant/model mismatches, the reduced-controller provides much better and more robust control performances. Crown Copyright (C) 2008 Published by Elsevier B.V. All rights reserved.
引用
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页码:129 / 134
页数:6
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