On The Use of Nonlinear Receding-Horizon Observers in Batch Terpolymerization Processes

Mazen Alamir (1) , Nida Sheibat-Othman (2) , Sami Othman (2)

1 GIPSA-SYSCO - GIPSA - Systèmes non linéaires et complexité
2 LAGEP - Laboratoire d'automatique et de génie des procédés

In this paper, a nonlinear receding-horizon observer is proposed for state reconstruction in batch terpolymerization reactors. The related investigations show that the state reconstruction problem may be quite ill conditioned in the sense that different states may exist that lead to roughly the same output. It seems however that when constrained receding-horizon estimation is used together with a dedicated crossing singularity heuristic, state reconstruction is possible even in presence of measurement noise and up-to 10\% error on the r.h.s of the ODE's describing the system's dynamics. The efficiency and the real-time implementability of the overall scheme is shown through illustrative scenarios including both simulation and experimental validation.

Mots clés: Robust Estimation; Nonlinear Constrained State Estimation; Batch Terpolymerization Reactor; Crossing Singularity Oriented Heuristic; Experimental Results; Robust Estimation.

Domaines: Optimisation et contrôle [math.OC]; Automatique / Robotique

Mazen Alamir, Nida Sheibat-Othman, Sami Othman. On The Use of Nonlinear Receding-Horizon Observers in Batch Terpolymerization Processes. NOLCOS 2007 - 7th IFAC Symposium on Nonlinear Control Systems, Aug 2007, Petroria, South Africa. ⟨10.3182/20070822-3-ZA-2920.00123⟩. ⟨hal-00116962⟩