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

被引:1
作者
Ben Mohamed, S. [1 ]
Boussaid, B. [1 ]
Abdelkrim, M. N. [1 ]
Tahri, C. [2 ]
机构
[1] Univ Gabes, Natl Sch Engineers Gabes Modeling, Anal & Control Syst Res Lab, Omar Ibn Khattab Rd, Gabes 6029, Tunisia
[2] Factory Skhira, Tunisian Chem Grp, Sfax, Tunisia
关键词
Filtration; (1D) system; (2D) system; (FM-II) model; (1D) RLS identification; IV identification; (2D) RLS identification; STATE ESTIMATION; SYSTEMS; RECONSTRUCTION; STABILITY; DESIGN; MODELS;
D O I
10.1080/00051144.2018.1498212
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:104 / 119
页数:16
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