Temperature Control of Continuous Chemical Reactors Under Noisy Measurements and Model Uncertainties

The aim of this paper is to present the synthesis of a robust control law for the control of a class of nonlinear systems named Liouvillian. The control design is based on a sliding-mode uncertainty estimator developed under the framework of algebraic-differential concepts. The estimation convergenc...

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Detalhes bibliográficos
Autores: Ricardo Aguilar López, Rafael Martínez Guerra, Juan L. Mata Machuca
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2012
País:México
Recursos:Centro de Investigación y de Estudios Avanzados del IPN
Repositorio:Redalyc-CINVESTAV
OAI Identifier:oai:redalyc.org:47423208012
Acesso em linha:https://www.redalyc.org/articulo.oa?id=47423208012
Access Level:acceso abierto
Palavra-chave:Ingeniería
sliding
mode observer
noisy measurements
uncertainty estimation
O linearizing controller
Descrição
Resumo:The aim of this paper is to present the synthesis of a robust control law for the control of a class of nonlinear systems named Liouvillian. The control design is based on a sliding-mode uncertainty estimator developed under the framework of algebraic-differential concepts. The estimation convergence is done by the Lyapunov-type analysis andthe closed-loop system stability is shown by means of the regulation error dynamics. Robustness of the proposedcontrol scheme is tested in the face of noise output measurements and model uncertainties. The performance of theproposed control law is illustrated with numerical simulations in which a class of oscillatorychemical system is used as application example.