Parameter and State Estimation of an Anaerobic Digestion Model in Laboratory and Pilot-Scale Conditions

Ivan Simeonov (1) , Kalchev Boyko L. (1) , Nicolai D. Christov (2)

1 Institut Stephan Angeloff
2 LAGIS - Laboratoire d'Automatique, Génie Informatique et Signal

This work considers the parameter and state estimation of a low-order model of anaerobic digestion of cattle dung. First, on the basis of a previously identified parameter set, partial parameter estimation with laboratory experimental data is performed. A modern numerical sensitivity analysis, to our knowledge not used for microbial biotechnology models so far, is a successful part of the estimation procedure. Second, the estimation results are validated with pilot-scale experimental data and can be considered satisfactory. Third, state estimation of the main AD variables is made via H-infinity filtering.

Mots clés: parameter and state estimation; sensivity analysis; validation; H-infinity filtering

Domaines: Microbiologie et Parasitologie

Ivan Simeonov, Kalchev Boyko L., Nicolai D. Christov. Parameter and State Estimation of an Anaerobic Digestion Model in Laboratory and Pilot-Scale Conditions. Proceedings of the 18th World Congress The International Federation of Automatic Control Milano (Italy), 2011, pp.on-line. ⟨10.3182/20110828-6-IT-1002.02542⟩. ⟨pasteur-00755449⟩