Adaptive extremum-seeking control of nonisothermal continuous stirred tank reactors
(2005) Chemical Engineering Science — Vol. 60, n° 13, p. 3671-3681 (2005)
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- 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. (c) 2005 Elsevier Ltd. All rights reserved.
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Guay, M., Dochain, D., & Perrier, M. (2005). Adaptive extremum-seeking control of nonisothermal continuous stirred tank reactors. Chemical Engineering Science, 60(13), 3671-3681. https://doi.org/10.1016/j.ces.2005.02.042 (Original work published 2005)