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Original scientific paper
https://doi.org/10.1080/00051144.2018.1498212

1D and 2D parameter estimation of a rotary drum filter based on RLS and IV methods

S. Ben Mohamed ; Analysis and Control of Systems Research Laboratory, University of Gabes National School of Engineers of Gabes Modeling, Gabes, Tunisia
B. Boussaid ; Analysis and Control of Systems Research Laboratory, University of Gabes National School of Engineers of Gabes Modeling, Gabes, Tunisia
M. N. Abdelkrim ; Analysis and Control of Systems Research Laboratory, University of Gabes National School of Engineers of Gabes Modeling, Gabes, Tunisia
C. Tahri ; Tunisian Chemical Group, Factory of Skhira, Sfax, Tunisia

Fulltext: english, pdf (3 MB) pages 104-119 downloads: 115* cite
APA 6th Edition
Ben Mohamed, S., Boussaid, B., Abdelkrim, M.N. & Tahri, C. (2018). 1D and 2D parameter estimation of a rotary drum filter based on RLS and IV methods. Automatika, 59 (1), 104-119. https://doi.org/10.1080/00051144.2018.1498212
MLA 8th Edition
Ben Mohamed, S., et al. "1D and 2D parameter estimation of a rotary drum filter based on RLS and IV methods." Automatika, vol. 59, no. 1, 2018, pp. 104-119. https://doi.org/10.1080/00051144.2018.1498212. Accessed 24 Nov. 2020.
Chicago 17th Edition
Ben Mohamed, S., B. Boussaid, M. N. Abdelkrim and C. Tahri. "1D and 2D parameter estimation of a rotary drum filter based on RLS and IV methods." Automatika 59, no. 1 (2018): 104-119. https://doi.org/10.1080/00051144.2018.1498212
Harvard
Ben Mohamed, S., et al. (2018). '1D and 2D parameter estimation of a rotary drum filter based on RLS and IV methods', Automatika, 59(1), pp. 104-119. https://doi.org/10.1080/00051144.2018.1498212
Vancouver
Ben Mohamed S, Boussaid B, Abdelkrim MN, Tahri C. 1D and 2D parameter estimation of a rotary drum filter based on RLS and IV methods. Automatika [Internet]. 2018 [cited 2020 November 24];59(1):104-119. https://doi.org/10.1080/00051144.2018.1498212
IEEE
S. Ben Mohamed, B. Boussaid, M.N. Abdelkrim and C. Tahri, "1D and 2D parameter estimation of a rotary drum filter based on RLS and IV methods", Automatika, vol.59, no. 1, pp. 104-119, 2018. [Online]. https://doi.org/10.1080/00051144.2018.1498212

Abstracts
This work deals with a physical one- and two-dimensional (1D and 2D) parameters estimation of a filtration process of slurry, the second stage of phosphoric acid manufacture. This study focuses on recursive least square and instrumental variable techniques applied to the (1D) and (2D) models. The model of the rotary drum filter is based on different physical laws involved in the filtration phase in order to get a simulator of the filtration process. Besides, many physical parameters rise in the system model and effect enormously the efficiency which should be modelled with precision such as permeability, porosity and viscosity. We use a constructive realization procedure for (2D) systems which may lead to a Fornasini–Marchesini local state-space model to describe the
dynamic of the system states.

Keywords
Filtration; (1D) system; (2D) system; (FM-II) model; (1D) RLS identification; IV identification; (2D) RLS identification

Hrčak ID: 225185

URI
https://hrcak.srce.hr/225185

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