Adaptive extremum seeking control of continuous stirred-tank bioreactors

被引:28
|
作者
Zhang, T
Guay, M [1 ]
Dochain, D
机构
[1] Queens Univ, Dept Chem Engn, Kingston, ON K7L 3N6, Canada
[2] Catholic Univ Louvain, CESAME, B-1348 Louvain, Belgium
关键词
D O I
10.1002/aic.690490111
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
An adaptive extremum-seeking control scheme for continuous stirred-tank bioreactors is proposed which utilizes the structure information of the kinetics of bioreactors to construct a seeking algorithm that drives the system states to the desired setpoints that optimize the value of an objective function. Lyapunov's stability theorem is used in the design of the extremum-seeking controller stucture and the development of the parameter learning laws. Numerical simulations illustrate the effectiveness of this approach.
引用
收藏
页码:113 / 123
页数:11
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