Adaptive Control of Chemical Distributed Parameter Systems

被引：7

作者：

Pourkargar, Davood Babaei ^{[1
]}

Armaou, Antonios ^{[1
]}

机构：

[1] Penn State Univ, Dept Chem Engn, University Pk, PA 16802 USA

来源：

IFAC PAPERSONLINE | 2015年 / 48卷 / 08期

关键词：

Distributed parameter systems; adaptive control; model reduction; output feedback; partial differential equations; Lyapunov stability; process control; MODEL-REDUCTION; FEEDBACK-CONTROL; SIMULATION; STABILITY;

D O I：

10.1016/j.ifacol.2015.09.047

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The adaptive output feedback control problem of chemical distributed parameter systems is investigated while the process parameters are unknown. Such systems can be usually modeled by semi linear partial differential equations (PDEs). A combination of Galerkin's method and proper orthogonal decomposition is applied to generate a reduced order model which captures the dominant dynamic behavior of the system and can be used as the basis for Lyapunov-based adaptive controller design. The proposed control method is illustrated on thermal dynamics regulation in a tubular chemical reactor where the temperature spatiotemporal dynamic behavior is modeled in the form of a semi-linear PDE. (C) 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. Ail rights reserved.

引用

页码：681 / 686

页数：6

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