Abstract

The objective of this work is to infer the biomass and product concentrations in a class of bioreactor, under the assumption of substrate measurements. This is done by employing a mathematical model of a continuous stirred bioreactor where the corresponding kinetic term is experimentally corroborated. The observer's structure contains, as usual, a predictive term given for nominal model plus a corrective term, which is proposed as adaptive one, where the corresponding observer's gain obey a specific dynamic equation, which provides an exponential convergence characteristic, under the Lipschitz assumption of the system. Numerical simulations show an adequate performance of the proposed observer and a comparison with a finite-time observer is done.

Recommended Citation

Aguilar-López, Ricardo and Acevedo-Gómez, Ricardo (2009) "Exponential Observer Design for State Estimation in a Class of Anaerobic Sulfate Reducing Bioreactor," Chemical Product and Process Modeling: Vol. 4 : Iss. 2, Article 3.
DOI: 10.2202/1934-2659.1289
Available at: http://www.bepress.com/cppm/vol4/iss2/3