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Nonlinear moving horizon estimator for online estimation of the density and viscosity of a mineral slurry

Autor
Diaz, J.; Ocampo-Martinez, C.A.; Alvarez, H.
Tipus d'activitat
Article en revista
Revista
Industrial & engineering chemistry research
Data de publicació
2017-12-13
Volum
56
Número
49
Pàgina inicial
14592
Pàgina final
14603
DOI
https://doi.org/10.1021/acs.iecr.7b04393 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/113338 Obrir en finestra nova
URL
http://pubs.acs.org/doi/full/10.1021/acs.iecr.7b04393 Obrir en finestra nova
Resum
This paper proposes a moving horizon estimator for nonlinear systems with unknown inputs, which do not comply with the model structures proposed in the literature for the design of nonlinear observers. The estimator is designed as an optimization problem over a moving horizon, constrained to process model equations and considering the unknown inputs as random inputs among their operating bounds. This proposal is applied to the transport of mineral slurries among process units, typically present ...
Citació
Diaz, J., Ocampo-Martinez, C.A., Alvarez, H. Nonlinear moving horizon estimator for online estimation of the density and viscosity of a mineral slurry. "Industrial & engineering chemistry research", 13 Desembre 2017, vol. 56, núm. 49, p. 14592-14603.
Paraules clau
Nonlinear Programming, Optimisation, Moving Horizon Estimation, Optimization-based Estimation, Nonlinear Systems, Fluid Transport, Density And Viscosity Estimation
Grup de recerca
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Sistemes Avançats de Control

Participants