Constrained multi-rate state estimator incorporating delayed measurements

Frequent and accurate concentration estimates are important for the on-line control and optimization of chemical reaction systems. Such estimates can be obtained using state estimation methods that fuse frequent (fast) delay-free on-line measurements with infrequent (slow) delayed laboratory measurements. In this paper, we demonstrate how several recent advances made in state estimation can be combined in an on-line recursive state estimation framework by imposing knowledge-based and measurement-based constraints on the state estimates of multi-rate concentration measurements with time-varying time delays. This framework is illustrated using a simulated example for a bacterial batch fermentation of recombinant l. lactis. It is shown that an extent-based formulation gives more accurate estimates than a conventional concentrationbased formulation.


Editeur(s):
Fikar, M
Kvasnica, M
Publié dans:
2017 21st International Conference on Process Control (PC), 358-363
Présenté à:
21st International Conference on Process Control (PC), Strbske Pleso, Slovakia, June 06-09, 2017
Année
2017
Publisher:
New York, IEEE
Laboratoires:




 Notice créée le 2017-11-08, modifiée le 2018-09-13


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