Observer design for state and clinker hardness estimation in cement mill

Dalil Ichalal (1) , Benoît Marx (2) , Didier Maquin (2) , José Ragot (2)

1 IBISC - Informatique, Biologie Intégrative et Systèmes Complexes
2 CRAN - Centre de Recherche en Automatique de Nancy

This paper addresses a solution to state and clinker hardness estimation in industrial cement mill process. A Takagi-Sugeno model with unmeasurable premise variables is developed for the nonlinear model of a cement mill. Bsed on this model, a nonlinear observer is proposed in order to estimate the state variables and also the clinker hardness, which is an unknown input of the process. The convergence of the estimation error is studied using the Lyapunov theory and the input-to-state stability (ISS) approach. An optimization problem with LMI constraints is then provided for the synthesis of this observer. Finally, simulation results and some discussions about the robustness of the observer are given.

Keywords: state and unknown input estimation; Cement mill industrial process; nonlinear systems; Takagi-Sugeno modeling; unknown premise variables; state and unknown input estimation.

Domains: Engineering Sciences [physics]; Automatic

Dalil Ichalal, Benoît Marx, Didier Maquin, José Ragot. Observer design for state and clinker hardness estimation in cement mill. IFAC Workshop on Automation in Mining, Mineral and Metal Industries, MMM 2012, Sep 2012, Gifu, Japan. pp.CDROM. ⟨hal-00690224⟩