Authors: Mazen Alamir, Nida Sheibat-Othman, Sami Othman
Addresses: Gipsa-Lab, Control Systems Department, CNRS-University of Grenoble, France. ' Laboratoire d'Automatique et de Genie des Procedes (LAGEP), UCBL/CNRS-ESCPE Bat. 308G 43, Villeurbanne Cedex 69622, France. ' Laboratoire d'Automatique et de Genie des Procedes (LAGEP), UCBL/CNRS-ESCPE Bat. 308G 43, Villeurbanne Cedex 69622, France
Abstract: In this paper, a non-linear receding-horizon observer is proposed for state reconstruction in batch terpolymerisation 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.
Keywords: nonlinear constrained state estimation; batch terpolymerisation reactor; crossing singularity oriented heuristic; experimental results; robust estimation; nonlinear observers; receding-horizon observers; high performance materials; polymers.
International Journal of Modelling, Identification and Control, 2008 Vol.4 No.1, pp.79 - 88
Published online: 30 Oct 2008 *Full-text access for editors Access for subscribers Purchase this article Comment on this article