State estimation of two-time scale multiple models. Application to wastewater treatment plant

Anca Maria Nagy Kiss (1) , Benoît Marx (1) , Gilles Mourot (1) , Georges Schutz (2) , José Ragot (1)

1 CRAN - Centre de Recherche en Automatique de Nancy
2 LTI - Laboratoire des Technologies Industrielles et Matériaux

This paper addresses the state estimation of two-time scale nonlinear systems with an unknown input multi-observer (UIMO). In order to design such an observer, the nonlinear system presented in a singular perturbed form is transformed into an equivalent multiple model with unmeasurable premise variables (UPV) affected by unknown inputs (UI). Then an observer is built and the stability analysis of the state reconstruction error is performed by using the Lyapunov method that leads to the resolution of linear matrix inequalities (LMIs). The performances of the proposed estimation method are highlighted through the application to a wastewater treatment plant (WWTP) model.

Mots clés: Multiple model (MM); Unmeasurable premise variables (UPV); State estimation; Descriptor systems; Activated sludge process

Domaines: Automatique

Anca Maria Nagy Kiss, Benoît Marx, Gilles Mourot, Georges Schutz, José Ragot. State estimation of two-time scale multiple models. Application to wastewater treatment plant. Control Engineering Practice, 2011, 19 (11), pp.1354-1362. ⟨10.1016/j.conengprac.2011.07.009⟩. ⟨hal-00613234⟩