Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
159769 | Chemical Engineering Science | 2005 | 11 Pages |
Abstract
In this paper, we present an adaptive extremum-seeking control scheme for nonisothermal continuous stirred tank reactors. We assume limited knowledge of the reaction kinetics. An adaptive learning technique is introduced to construct an optimum-seeking algorithm that drives the system states to optimal equilibrium concentrations of the reaction mixture. Lyapunov's stability theorem is used in the design of the extremum-seeking controller structure and the development of the parameter-learning laws. Under mild assumptions, the resulting controller is an output-feedback controller. The performance of the technique is demonstrated with the van de Vusse reaction system.
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Chemical Engineering (General)
Authors
M. Guay, D. Dochain, M. Perrier,