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.
Robust sliding mode-based extremum-seeking controller for reaction systems via uncertainty estimation approach
2017-01-01
International Journal of Robust and Nonlinear Control, Vol. 27, p. 3218-3235 (2017)
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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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