Adaptive extremum seeking control of continuous stirred tank bioreactors with unknown growth kinetics

被引：115

作者：

Guay, M ^{[1
]}

Dochain, D

Perrier, M

机构：

[1] Queens Univ, Dept Chem Engn, Kingston, ON K7L 3N6, Canada

[2] Catholic Univ Louvain, CESAME, B-3000 Louvain, Belgium

[3] Ecole Polytech, Dept Chim, Montreal, PQ H3C 3A7, Canada

来源：

AUTOMATICA | 2004年 / 40卷 / 05期

关键词：

extremum seeking; Lyapunov function; adaptive leaming; persistence of excitation;

D O I：

10.1016/j.automatica.2004.01.002

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we present an adaptive extremum seeking control scheme for continuous stirred tank bioreactors. We assume limited knowledge of the growth kinetics. An adaptive learning technique is introduced to construct a seeking algorithm that drives the system states to the desired set-points that maximize the value of an objective function. Lyapunov's stability theorem is used in the design of the extremum seeking controller structure and the development of the parameter learning laws. Simulation results are given to show the effectiveness of the proposed approach. (C) 2004 Elsevier Ltd. All rights reserved.

引用

页码：881 / 888

页数：8

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