6533b861fe1ef96bd12c4f86
RESEARCH PRODUCT
Estimation of the mean crystal size and the moments of the crystal size distribution in batch crystallization processes
Sami OthmanNida Sheibat-othmanAnis SaklyToufik BakirNawel Afsisubject
Model-Predictive ControlIdentification[ INFO ] Computer Science [cs]Observer (quantum physics)population balance equations02 engineering and technologyMethod of moments (statistics)high gain observer[SPI.AUTO]Engineering Sciences [physics]/Automaticlaw.inventionCrystalCrystallization processes020401 chemical engineeringFbrmControl theorylawBeam Reflectance Measurement[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering[INFO]Computer Science [cs]L-Glutamic Acid0204 chemical engineeringCrystallizationComputingMilieux_MISCELLANEOUSMathematicsParticle-SizePartial differential equationmethod of momentsMathematical analysisShape021001 nanoscience & nanotechnologyImage-Analysiscrystal size distributionTransformation (function)CascadeOrdinary differential equation0210 nano-technologyProductdescription
International audience; 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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2016-12-16 |