Observador No Lineal para la Estimación de Concentraciones en un Proceso de Destilación Metanol/Etanol

Astorga, Carlos; Quintero-Marmol, Enrique; Vela, L.G.; Torres, Lizeth

doi:10.4067/s0718-07642006000600007

Cited by 4 publications

(4 citation statements)

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“…Astorga et al [6] and Cervantes et al [7] present high-gain observers to estimate the light component composition in a continuous distillation column using a set of models for each plate of the column. In Ref.…”

Section: Balasubramhanya and Doyle IIImentioning

confidence: 99%

Mathematical Modelling of Batch Distillation Columns: A Comparative Analysis of Non-Linear and Fuzzy Models

Téllez-Anguiano¹,

Heras-Cervantes²,

JuanAnzurez-Marín³

et al. 2017

Distillation - Innovative Applications and Modeling

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Distillation is the process most commonly used in industry to separate chemical mixtures; its applications range from cosmetic and pharmaceutical to petrochemical industries. The equipment required to perform the distillation process is known as distillation column. Since initial investment and maintenance costs for distillation columns are very high it is necessary to have an appropriate mathematical model that allows improving the comprehension of the column dynamics, especially its thermal behaviour, in order to enhance the control and safety of the process. This chapter presents a general panorama of the mathematical modelling of distillation columns, having as a specific case of study the comparison of a space-state non-linear model and a Takagi-Sugeno fuzzy model for a batch distillation column using a binary mixture (Ethanol-Water).

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Section: Balasubramhanya and Doyle IIImentioning

confidence: 99%

Mathematical Modelling of Batch Distillation Columns: A Comparative Analysis of Non-Linear and Fuzzy Models

Téllez-Anguiano¹,

Heras-Cervantes²,

JuanAnzurez-Marín³

et al. 2017

Distillation - Innovative Applications and Modeling

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“…De acuerdo al teorema de Observabilidad de los sistemas descritos en (Astorga et al, 2006) y de la forma general de los sistemas no lineales como en (A.2).…”

Section: Apéndice A1 Observabilidadunclassified

“…(Aguilera-González et al, 2010) valida experimentalmente un observador de alta ganancia constante continuo-discreto para una columna de destilación, donde se estiman las concentraciones molares de una mezcla binaria. (Astorga et al, 2006), presentan un observador no lineal de ganancia constante para la estimación de las composiciones molares en los platos de una columna de destilación a partir de las mediciones de las temperaturas en el hervidor y en el condensador. El observador se basa en un modelo no lineal de un proceso de destilación binaria metanol-etanol.…”

Section: Introductionunclassified

Validación experimental de un Observador de Alta Ganancia Reconfigurable para una columna de destilación

Cervantes

Anguiano

Ramirez

et al. 2015

Revista Iberoamericana de Automática e Informática Industrial R

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El equipo para llevar a cabo el proceso de destilación es la columna de destilación. Las columnas de destilación son un equipo utilizado para diferentes aplicaciones, como la producción de alimentos, perfumes, medicinas, combustibles, entre otros, (Figura 1). Figura 1: Destilación del petróleo Las columnas de destilación constituyen un porcentaje significativo del costo de inversión inicial en la mayoría de los procesos en los que intervienen El disponer de técnicas adecuadas para modelar columnas de destilación, que permitan desarrollar sistemas de control eficaces y fiables, es muy importante a fin de conseguir un fun

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“…Generally, the light component composition measurement is performed offline using expensive instruments, so the implementation of state observers to estimate online this composition has become a frequent and important task. Authors in [10][11][12] present high-gain observers to estimate the light component composition in all the distillation column plates from the measurement of the temperature of some plates and the column actual inputs.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Logic Modeling and Observers Applied to Estimate Compositions in Batch Distillation Columns

Heras-Cervantes¹,

Chávez-Campos²,

Hernández³

et al. 2019

Distillation - Modelling, Simulation and Optimization

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In this chapter, the analysis and design of a fuzzy observer based on a Takagi-Sugeno model of a batch distillation column are presented. The observer estimates the molar compositions and temperatures of the light component in the distillation column considering a binary mixture. This estimation aims to allow monitoring the physical variables in the process to improve the quality of the distillated product as well as to detect failures that could affect the system performance. The Takagi-Sugeno fuzzy model is based on eight linear subsystems determined by three premise variables: the opening percentage of the reflux valve and the liquid molar composition of the light element of the binary mixture in the boiler and in the condenser. The stability analysis and the observer gains are obtained by linear matrix inequalities (LMIs). The observer is validated by MATLAB ® simulations using real data obtained from a distillation column to verify the observer's convergence and analyze its response under system disturbances.

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Observador No Lineal para la Estimación de Concentraciones en un Proceso de Destilación Metanol/Etanol

Cited by 4 publications

References 0 publications

Mathematical Modelling of Batch Distillation Columns: A Comparative Analysis of Non-Linear and Fuzzy Models

Mathematical Modelling of Batch Distillation Columns: A Comparative Analysis of Non-Linear and Fuzzy Models

Validación experimental de un Observador de Alta Ganancia Reconfigurable para una columna de destilación

Fuzzy Logic Modeling and Observers Applied to Estimate Compositions in Batch Distillation Columns

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