Abstract:
The aim of this work is to design a super-twisting observer for on-line estimation of the concentration of Volatile Fatty Acids (VFA) in a class of continuous anaerobic d...Show MoreMetadata
Abstract:
The aim of this work is to design a super-twisting observer for on-line estimation of the concentration of Volatile Fatty Acids (VFA) in a class of continuous anaerobic digestion (AD) processes. Taking into account the limited availability of on-line sensors for the AD processes, in this contribution is assumed that only the methane outflow rate is available for on-line measurement. The estimation technique is based on a local coordinate transformation that lead the original two-dimensional system to an observable normal form. In order to provide robustness properties under perturbation/uncertainty conditions a super-twisting algorithm is proposed. The observer convergence is analyzed by using Lyapunov stability techniques. Numerical simulations illustrate the effectiveness of the estimation scheme for a four-dimensional AD model with uncertainties associated with unmodeled dynamics and disturbances in the inflow composition.
Published in: 2018 5th International Conference on Control, Decision and Information Technologies (CoDIT)
Date of Conference: 10-13 April 2018
Date Added to IEEE Xplore: 25 June 2018
ISBN Information:
Electronic ISSN: 2576-3555