Simultaneous state and parameter estimation method for a conventional ozonation system

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Simultaneous state and parameter estimation method for a conventional ozonation system

Chairez, I; Chalanga, A; Poznyak, A; Spurgeon, S; Poznyak, T; (2022) Simultaneous state and parameter estimation method for a conventional ozonation system. Computers and Chemical Engineering , 167 , Article 108018. 10.1016/j.compchemeng.2022.108018. Green open access

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Abstract

This article presents a simultaneous state (via a nonlinear form of Luenberger observer) and parameter (using a proportional–integral least mean square form) estimator design method for a conventional ozonation system. The suggested state observer assumes that the only available output signal is the concentration of the ozone gas at the output of the reactor. The estimation of the reaction rate constants of ozonation in the presence of contaminants uses the suggested proportional–integral estimation method. The convergence proof of the developed state-parameter identification method was confirmed using a Lyapunov based stability analysis. This analysis characterizes the quality of estimation considering the presence of modeled uncertainties and external perturbations. The implementation of the super-twisting algorithm as a robust and exact differentiator allowed to perform the estimation of the reaction rate constants of the ozonation, the temporal evolution of the dissolved ozone and the evolution of contaminants concentrations. The simultaneous state and parameter estimator design method was implemented in real-time using phenol as a model contaminant. The numerically simulated and real-time implementations showed that the method provides accurate estimates of the contaminant concentration and the reaction rate coefficient in all the evaluated cases.

Type:	Article
Title:	Simultaneous state and parameter estimation method for a conventional ozonation system
Open access status:	An open access version is available from UCL Discovery
DOI:	10.1016/j.compchemeng.2022.108018
Publisher version:	https://doi.org/10.1016/j.compchemeng.2022.108018
Language:	English
Additional information:	This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords:	Conventional ozonation, Super-twisting algorithm, Proportional–integral parametric identifier, Simultaneous state-parameter estimator
UCL classification:	UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI:	https://discovery.ucl.ac.uk/id/eprint/10159313