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Robust sliding mode-based extremum-seeking controller for reaction systems via uncertainty estimation approach

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Lara-Cisneros, Gerardo Femat, Ricardo Dochain, Denis [UCL]

This paper deals with the design of a robust sliding mode-based extremum-seeking controller aimed at the online optimization of a class of uncertain reaction systems. The design methodology is based on an input– output linearizing method with variable-structure feedback, such that the closed-loop system converges to a neighborhood of the optimal set point with sliding mode motion. In contrast with previous extremumseeking control algorithms, the control scheme includes a dynamic modelling-error estimator to compensate for unknown terms related with model uncertainties and unmeasured disturbances. The proposed online optimization scheme does not make use of a dither signal or a gradient-based optimization algorithm. Practical stabilizability for the closed-loop system around to the unknown optimal set point is analyzed. Numerical experiments for two nonlinear processes illustrate the effectiveness of the proposed robust control scheme.

Document type Article de périodique (Journal article) – Article de recherche
Access type Accès libre
Publication date 2017
Language Anglais
Journal information "International Journal of Robust and Nonlinear Control" - Vol. 27, p. 3218-3235 (2017)
Peer reviewed yes
Publisher Wiley-Blackwell
issn 1049-8923
Publication status Publié
Affiliation UCL - SST/ICTM/INMA - Pôle en ingénierie mathématique
Keywords Control and Systems Engineering ; Mechanical Engineering ; Electrical and Electronic Engineering ; Industrial and Manufacturing Engineering ; General Chemical Engineering ; Aerospace Engineering ; Biomedical Engineering ; extremum-seeking control ; (bio)chemical reactors ; sliding mode control ; uncertain reaction systems
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Bibliographic reference Lara-Cisneros, Gerardo ; Femat, Ricardo ; Dochain, Denis. Robust sliding mode-based extremum-seeking controller for reaction systems via uncertainty estimation approach. In: International Journal of Robust and Nonlinear Control, Vol. 27, p. 3218-3235 (2017)
Permanent URL http://hdl.handle.net/2078.1/190484