System identification and model-based control for distributed parameter systems

被引：49
|
作者：
Zheng, D [1 ]
Hoo, KA [1 ]
机构：
[1] Texas Tech Univ, Dept Chem Engn, Lubbock, TX 79409 USA
来源：
COMPUTERS & CHEMICAL ENGINEERING | 2004年 / 28卷 / 08期
基金：
美国国家科学基金会;
关键词：
empirical eigenfunctions; Karhunen Loeve expansion; singular value decomposition; QDMC; multiple-input multiple-output;
D O I：
10.1016/j.compchemeng.2003.09.035
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
A linear, low-order input/output model is identified for a nonlinear distributed parameter system using a combination of singular value decomposition and the Karhunen Loeve expansion. The model captures the dominant behavior of the system around a nominal operating point. A quadratic dynamic model-based controller (QDMC) is designed based on this low-order model. Sufficient conditions for closed-loop stability are presented and proven. The system identification method and the resulting QDMC controller are demonstrated on a nonlinear multiple-input multiple-output (MIMO) chemical reactor that produces benzene from the hydro-dealkylation of toluene. (C) 2003 Elsevier Ltd. All rights reserved.
引用
收藏
页码：1361 / 1375
页数：15
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