0000000000411768

AUTHOR

Nawel Afsi

showing 4 related works from this author

An intelligent Proportional controller of a Seeded Batch Crystallizer

2020

Crystallization process is used in a very wide range of industrial applications. However, highly nonlinear comportment of such process and the difficulties of characterizing several phenomenological effects makes difficult to find suitable operational procedures for producing required products. In this article, we use a model-free control (MFC) for controlling the mean size of crystals produced by seeded batch cooling crystallization. The MFC method is distinguished notably in terms of the modeling strategy. Rather than developing a crystallization model within the classic population balance equation (PBE) together with the mass balance and the energy balance, as is usually done, we use a l…

0209 industrial biotechnologyNoise measurementEnergy balanceProcess (computing)Population balance equationProportional control02 engineering and technologylaw.inventionNonlinear system020901 industrial engineering & automation020401 chemical engineeringControl theorylaw0204 chemical engineeringCrystallization2020 17th International Multi-Conference on Systems, Signals & Devices (SSD)
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Model predictive control for continuous lactide ring‐opening polymerization processes

2020

International audience; Polylactic acid (PLA) is an attractive environment-friendly thermoplastic that is bio-sourced and biodegradable. PLA is industrially produced by the ring-opening polymerization of Lactide. This reaction is sensitive to drifts in the operating conditions and impurities in the raw materials that may affect the reaction rate as well as the polymer properties, which can be very costly in continuous processes. It is therefore crucial to employ a control strategy that allows recovering the nominal conditions and maintaining the desired properties and conversion level in case of drift. Three control strategies are discussed in this paper: Proportional-Integral controller (P…

Coupling0209 industrial biotechnologyMaterials scienceLoop reactoroptimisationProcess (computing)PIPID controller02 engineering and technology7. Clean energyPolylactic acidNonlinear systemModel predictive control020901 industrial engineering & automationPolynomial and rational function modelingControl and Systems EngineeringControl theoryCascade0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processing[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process EngineeringModel predictive control
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Dynamic optimization of a continuous Lactide ring-opening polymerization process

2019

An increasing attention has been paid to the production of the polylactic acid (PLA) in recent years, owing to its properties as a biodegradable thermoplastic besides the fact that it is derived from renewable resources. PLA is industrially produced by ring opening polymerization of lactide. This reaction is sensitive to deviations in the operating conditions that highly affect the reaction rate and the polymer properties. Therefore, a process monitoring and control policy is crucial in order to restore the nominal conditions in case of drift. In this paper, a continuous PLA process is considered with three cascade reactors, two tubular and one loop reactor, that is described by partial dif…

chemistry.chemical_classificationMaterials scienceThermoplasticProcess (computing)PID controller02 engineering and technologyPolymer021001 nanoscience & nanotechnology7. Clean energyReaction ratechemistry.chemical_compound020401 chemical engineeringPolylactic acidchemistryControl theoryCascadeProcess output[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering0204 chemical engineering0210 nano-technologyComputingMilieux_MISCELLANEOUS2019 International Conference on Control, Automation and Diagnosis (ICCAD)
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Estimation of the mean crystal size and the moments of the crystal size distribution in batch crystallization processes

2016

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…

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-technologyProduct
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