Estimation of the mean crystal size and the moments of the crystal size distribution in batch crystallization processes

被引:0
|
作者
Afsi, Nawel [1 ,3 ]
Bakir, Toufik [2 ]
Othman, Sami [1 ]
Sheibat-Othman, Nida [1 ]
Sakly, Anis [3 ]
机构
[1] Univ Lyon 1, Lab Automat & Proc Engn LACEP, CPE Lyon, CNRS UMR 5007, 43 Bd 11 Nov 1918, F-69622 Villeurbanne, France
[2] Univ Burgundy, CNRS UMR 6306, Lab Le2i, Aile Sci Ingenieur,9 Ave Alain Savary,BP 47870, F-21078 Dijon, France
[3] Univ Monastir, Res Unit Ind Syst Study & Renewable Energy ESIER, Natl Sch Engineers Monastir, Av Ibn El Jazzar, Monastir 6306, Tunisia
来源
2016 4TH INTERNATIONAL CONFERENCE ON CONTROL ENGINEERING & INFORMATION TECHNOLOGY (CEIT) | 2016年
关键词
Crystallization processes; high gain observer; population balance equations; crystal size distribution; method of moments; MODEL-PREDICTIVE CONTROL; BEAM REFLECTANCE MEASUREMENT; L-GLUTAMIC ACID; PARTICLE-SIZE; IMAGE-ANALYSIS; SHAPE; IDENTIFICATION; PRODUCT; FBRM;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A cascade high gain observer is designed to estimate the first four leading moments of the crystal size distribution (CSD) and the mean crystal size in batch crystallization processes. The proposed observer is based on a well-known transformation of the partial differential equation describing the CSD to a set of ordinary differential equations (the method of moments). Due to numerical difficulties resulting from the important differences in the magnitudes of the moments, a set of new variables is computed to allow a good estimation of the moments and thus the mean crystal size. In this work, only solute concentration and crystallizer temperature are used to estimate the different moments. The performance of the proposed observer is illustrated by simulation using a noisy measurement.
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页数:6
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