Mostrar el registro sencillo del ítem
dc.contributor.author | Morales, Humberto![]() |
es_ES |
dc.contributor.author | Aguirre-Zapata, Estefania![]() |
es_ES |
dc.contributor.author | di Sciascio, Fernando![]() |
es_ES |
dc.contributor.author | Amicarelli, Adriana N.![]() |
es_ES |
dc.date.accessioned | 2023-01-12T12:56:35Z | |
dc.date.available | 2023-01-12T12:56:35Z | |
dc.date.issued | 2022-12-28 | |
dc.identifier.issn | 1697-7912 | |
dc.identifier.uri | http://hdl.handle.net/10251/191285 | |
dc.description.abstract | [EN] This work focuses on the C crystallization process in the sugar industry. Its objective is to improve the performance of a classical Proportional Integral Derivative (PID) controller and a Nonlinear Model Predictive Controller (NMPC) previously developed. In this order, a variable supersaturation Setpoint is added to the aforementioned control strategies. The variable Setpoint is obtained by applying a correction function to a constant reference value. The correction function depends on the boiling curve, which relates the level in the evaporator to the desired concentration. These improvements favorably influence the process, ensuring that supersaturation operates at adequate values and that the desired concentration is achieved with savings in energy consumption and process operation time. | es_ES |
dc.description.abstract | [ES] Este trabajo se enfoca en el proceso de Cristalización C en la industria azucarera. Su objetivo es mejorar el desempeño de un controlador clásico, con una ley de control Proporcional - Integral- Derivativa (PID) y un Controlador Predictivo Basado en Modelo No Lineal (NMPC) desarrollados previamente. Con este fin, se propone adicionar a dichas estrategias de control una referencia de sobresaturación variable, que se obtiene aplicando una función de corrección a un valor constante. La función de corrección depende de la curva de ebullición, que relaciona el nivel en el evaporador con la concentración deseada. Con estas mejoras se influye favorablemente en el proceso, garantizando que la sobresaturación opere en valores adecuados y que se alcance la concentración final con mayor eficiencia, en términos de ahorro de tiempo y consumo de energía en el proceso. | es_ES |
dc.description.sponsorship | Humberto Morales tiene un beca doctoral del Servicio de Intercambio Académico Alemán (DAAD), Estefanía Aguirre tiene una beca doctoral del Consejo Nacional de Investigaciones Científicas y Técnicas de Argentina (CONICET), y cofinanciada por el programa ENLAZAMUNDOS de la Agencia de Educación Postsecundaria (SAPIENCIA) de Medellín, Colombia. | es_ES |
dc.language | Español | es_ES |
dc.publisher | Universitat Politècnica de València | es_ES |
dc.relation.ispartof | Revista Iberoamericana de Automática e Informática industrial | es_ES |
dc.rights | Reconocimiento - No comercial - Compartir igual (by-nc-sa) | es_ES |
dc.subject | Supersaturation | es_ES |
dc.subject | Crystallization Processes | es_ES |
dc.subject | Control strategy with variable Setpoint | es_ES |
dc.subject | Mass of Crystals | es_ES |
dc.subject | Estrategia de control con referencia variable | es_ES |
dc.subject | Sobresaturación | es_ES |
dc.subject | Proceso de Cristalización | es_ES |
dc.subject | Masa de cristales | es_ES |
dc.title | Estrategias de control con referencia variable aplicadas al proceso de Cristalización C en la industria azucarera | es_ES |
dc.title.alternative | Control strategies with variable Setpoint applied to the C Crystallization process in the sugar industry | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.4995/riai.2022.17096 | |
dc.rights.accessRights | Abierto | es_ES |
dc.description.bibliographicCitation | Morales, H.; Aguirre-Zapata, E.; Di Sciascio, F.; Amicarelli, AN. (2022). Estrategias de control con referencia variable aplicadas al proceso de Cristalización C en la industria azucarera. Revista Iberoamericana de Automática e Informática industrial. 20(1):81-92. https://doi.org/10.4995/riai.2022.17096 | es_ES |
dc.description.accrualMethod | OJS | es_ES |
dc.relation.publisherversion | https://doi.org/10.4995/riai.2022.17096 | es_ES |
dc.description.upvformatpinicio | 81 | es_ES |
dc.description.upvformatpfin | 92 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 20 | es_ES |
dc.description.issue | 1 | es_ES |
dc.identifier.eissn | 1697-7920 | |
dc.relation.pasarela | OJS\17096 | es_ES |
dc.contributor.funder | Consejo Nacional de Investigaciones Científicas y Técnicas, Argentina | es_ES |
dc.description.references | Anderson, B., Moore, J., 1979. Optimal filtering 1979 englewood cliffs. | es_ES |
dc.description.references | Åstrom, K. J., H agglund, T., 2009. Control PID avanzado. Pearson, Madrid | es_ES |
dc.description.references | Åstrom, K. J., Wittenmark, B., 2013. Computer-controlled systems: theory and design. Courier Corporation. | es_ES |
dc.description.references | Bonnecaze, C., 2004. Cristallisation c en sucrerie de canne: modelisation de la purete de la liqueur mére et ètude de l'ensemencement. Ph.D. thesis, La 'Reunion. | es_ES |
dc.description.references | Broadfoot, R., Wright, P., 1972. Nucleation studies. Queensland Soc Sugar Cane Technol Proc. | es_ES |
dc.description.references | Cheesman, O. D., et al., 2004. Environmental impacts of sugar production: the cultivation and processing of sugarcane and sugar beet. CABI publishing. https://doi.org/10.1079/9780851999814.0000 | es_ES |
dc.description.references | Crestani, C. E., Bernardo, A., Costa, C. B., Giulietti, M., 2018. Experimental data and estimation of sucrose solubility in impure solutions. Journal of Food Engineering 218, 14-23. https://doi.org/10.1016/j.jfoodeng.2017.08.023 | es_ES |
dc.description.references | Damour, C., Benne, M., Boillereaux, L., Grondin-Perez, B., Chabriat, J.-P., 2010a. Nmpc of an industrial crystallization process using model-based observers. Journal of Industrial and Engineering Chemistry 16 (5), 708-716. https://doi.org/10.1016/j.jiec.2010.07.014 | es_ES |
dc.description.references | Damour, C., Benne, M., Grondin-Perez, B., Chabriat, J.-P., 2009. Model based soft-sensor for industrial crystallization: On-line mass of crystals and solubility measurement. International Journal of Nutrition and Food Engineering 3 (6), 275-279. | es_ES |
dc.description.references | Damour, C., Benne, M., Grondin Perez, B., Chabriat, J.-P., 2010b. Nonlinear predictive control based on artificial neural network model for industrial crystallization. Journal of Food Engineering 99 (2), 225-231. https://doi.org/10.1016/j.jfoodeng.2010.02.027 | es_ES |
dc.description.references | Damour, C., Benne, M., Grondin-Perez, B., Chabriat, J.-P., 2010c. Soft-sensor for industrial sugar crystallization: On-line mass of crystals, concentration and purity measurement. Control Engineering Practice 18 (8), 839-844. https://doi.org/10.1016/j.conengprac.2010.03.005 | es_ES |
dc.description.references | De Bernardi, L. A., 2019. Perfil del Azucar. URL: https://www.magyp.gob.ar/sitio/areas/Perfil del Azúcar 2019.pdf | es_ES |
dc.description.references | de Prada, C., Lazaro, E. B., Pérez, R. R., 2009. Introducció a la sección especial de modelado, control y optimización en la industria azucarera. Revista Iberoamericana de Automática e Informática Industrial 6 (3), 5-9. https://doi.org/10.1016/S1697-7912(09)70259-6 | es_ES |
dc.description.references | Feyo de Azevedo, S., Chorao, J., Joao Goncalves, M., San Miguel Bento, L., 1993. Monitoring crystallization. i: On-line monitoring of white sugar crystallization through software sensors. International sugar journal 95 (1140), 483-488. | es_ES |
dc.description.references | Frew, J. A., 1973. Optimal control of batch raw sugar crystallization. Industrial & Engineering Chemistry Process Design and Development 12 (4), 460-467. https://doi.org/10.1021/i260048a013 | es_ES |
dc.description.references | Georgieva, P., De Azevedo, S. F., 2006. Neural network-based control strategies applied to a fed-batch crystallization process. In: cris. Vol. 1000. p. 5. | es_ES |
dc.description.references | Georgieva, P., Meireles, M., de Azevedo, S. F., 2003. Knowledge-based hybrid modelling of a batch crystallisation when accounting for nucleation, growth and agglomeration phenomena. chemical engineering science 58 (16), 3699-3713. https://doi.org/10.1016/S0009-2509(03)00260-4 | es_ES |
dc.description.references | Gorostiaga, L. d. J., Herreros, A., Baeyens, E., 2011. Sistemas de Control de Procesos. In: Peran González, José R.(Fundación CARTIF, E. (Ed.), Libro blanco del control automatico en la industria de la caña de azúcar, programa iberoamericano de ciencia y tecnología para el desarrollo (cyted). Edition. Ch. 14, pp. 367-386. | es_ES |
dc.description.references | Grondin-Perez, B., Benne, M., Bonnecaze, C., Chabriat, J.-P., 2005. Industrial multi-step forward predictor of mother liquor purity of the final stage of a cane sugar crystallisation plant. Journal of food engineering 66 (3), 361-367. https://doi.org/10.1016/j.jfoodeng.2004.04.002 | es_ES |
dc.description.references | Grondin-Perez, B., Benne, M., Chabriat, J.-P., 2006. Supervision of c crystallisation in bois rouge sugar mill using on-line crystal content estimation using synchronous microwave and refractometric brix measurements. Journal of food engineering 76 (4), 639-645. https://doi.org/10.1016/j.jfoodeng.2005.06.014 | es_ES |
dc.description.references | Honig, P., 1953. Principles of sugar technology. Elsevier, New. York. | es_ES |
dc.description.references | Hugot, E., 1986. Handbook of cane sugar engineering. Third Edition, Elseiver, Amsterdam-Oxford-New York-Tokyo. | es_ES |
dc.description.references | Hulburt, H. M., Katz, S., 1964. Some problems in particle technology: A sta-tistical mechanical formulation. Chemical engineering science 19 (8), 555-574. https://doi.org/10.1016/0009-2509(64)85047-8 | es_ES |
dc.description.references | IEC60751, 2008. International Electrotechnical Commission Standard: Indus-trial platinum resistance thermometers and platinum temperature sensors. | es_ES |
dc.description.references | Jazwinski, A. H., 1970. Stochastic Processes and Filtering Theory. Academic Press. | es_ES |
dc.description.references | Jenkins, G. H., 2013. Introduction to cane sugar technology. Elsevier. https://doi.org/10.1016/B978-1-4832-3195-2.50005-1 | es_ES |
dc.description.references | Jha, S., Karthika, S., Radhakrishnan, T., 2017. Modelling and control of crystallization process. Resource-Efficient Technologies 3 (1), 94-100. https://doi.org/10.1016/j.reffit.2017.01.002 | es_ES |
dc.description.references | Lauret, P., Boyer, H., Gatina, J.-C., 2000. Hybrid modelling of a sugar boiling process. Control Engineering Practice 8 (3), 299-310. https://doi.org/10.1016/S0967-0661(99)00151-3 | es_ES |
dc.description.references | Lopez, F. G., 1969. El proceso de fabricación de azúcar crudo en los tachos. Instituto del Libro. | es_ES |
dc.description.references | Mazaeda, R., Acebes, L. F., Rodr'ıguez, A., Engell, S., de Prada, C., 2014. Sugar crystallization benchmark. In: Computer-Aided Chemical Engineering. Vol. 33. Elsevier, pp. 613-618. https://doi.org/10.1016/B978-0-444-63456-6.50103-4 | es_ES |
dc.description.references | Mazaeda, R., de Prada, C., 2011. Cristalizadores de azucar por evaporación al vacío. In: Jose R. Perán González (Ed.), Libro blanco del control automático en la industria de la cana de azúcar, programa iberoamericano de ciencia y tecnología para el desarrollo (cyted). Edition. Programa CYTED Red de automatizacion y control de la industria de transformación de la caña de azucar, Ch. 4, pp. 97-126. | es_ES |
dc.description.references | Meng, Y., Lan, Q., Qin, J., Yu, S., Pang, H., Zheng, K., 2019a. Data-driven soft sensor modeling based on twin support vector regression for cane sugar crystallization. Journal of Food Engineering 241, 159-165. https://doi.org/10.1016/j.jfoodeng.2018.07.035 | es_ES |
dc.description.references | Meng, Y., Yu, S., Zhang, J., Qin, J., Dong, Z., Lu, G., Pang, H., 2019b. Hybrid modeling based on mechanistic and data-driven approaches for cane sugar crystallization. Journal of food engineering 257, 44-55. https://doi.org/10.1016/j.jfoodeng.2019.03.026 | es_ES |
dc.description.references | Mesbah, A., Huesman, A. E., Kramer, H. J., Van den Hof, P. M., 2010. A comparison of nonlinear state estimators for closed-loop control of batch crystallizers. IFAC Proceedings Volumes 43 (5), 385-390. https://doi.org/10.3182/20100705-3-BE-2011.00064 | es_ES |
dc.description.references | Morales, H., Aguirre, E., di Sciascio, F., Amicarrelli, A. N., 2019. On line supersaturation monitoring in crystallization process. In: 2019 XVIII Reunión de Trabajo en Procesamiento de la Informacion y Control (RPIC). pp. 1-6. | es_ES |
dc.description.references | Morales, H., Aguirre, E., Sciascio, F., Amicarelli, A., 2021. Control strategies for the C Crystallization process in the sugar industry. In: RPIC (Ed.), RPIC2021: XIX Reunion de Trabajo en procesamineto de la Información y Control. San Juan, Argentina, pp. 377-382. URL: http://www.rpic.com.ar/memorias.php DOI: 978-987-88-2891-6 | es_ES |
dc.description.references | Morales, H., di Sciascio, F., Amicarelli, A., 2018. Estimation of supersaturation in the crystallization process of the sugar industry. In: 2018 Argentine Conference on Automatic Control (AADECA). IEEE, pp. 1-6. https://doi.org/10.23919/AADECA.2018.8577381 | es_ES |
dc.description.references | Normey-Rico, J. E., 2007. Control of dead-time processes. Springer Science & Business Media. | es_ES |
dc.description.references | Piedra, F., 1995. Manual de operaciones para la fabricacion de azúcar crudo de caña. Centro Impresiones Gráficas del Azúcar, Dirección de tecnología, Cuba, Minaz. | es_ES |
dc.description.references | Ramkrishna, D., 1985. The status of population balances. Reviews in chemicalengineering 3 (1), 49-95. https://doi.org/10.1515/REVCE.1985.3.1.49 | es_ES |
dc.description.references | Rozsa, L., et al., 2000. Sucrose solubility in impure cane sugar solutions. International sugar journal 102 (1217), 230-2. | es_ES |
dc.description.references | Rozsa, L., et al., 2011. On-line monitoring and control of supersaturation andother massecuite parameters in vacuum pans: A control engineering ap-proach. international sugar Journal 113 (1356), 853. | es_ES |
dc.description.references | Rozsa, Lajos, Arriaza, G., Romero, M., 2015. Advanced Control of Crystalli-sation Based on the Direct Use of On-line Data on Supersaturation: Theoryand Practice. In: Sugar Industry Technologists Annual Meeting. Guangzhou,China | es_ES |
dc.description.references | Simon, D., 2006. Optimal state estimation: Kalman, H infinity, and nonlinear approaches. John Wiley & Sons. https://doi.org/10.1002/0470045345 | es_ES |
dc.description.references | Suarez, L. A. P., Georgieva, P., De Azevedo, S. F., 2011. Nonlinear mpc for fedbatch multiple stages sugar crystallization. Chemical Engineering Research and Design 89 (6), 753-767. https://doi.org/10.1016/j.cherd.2010.10.010 | es_ES |
dc.description.references | Tejerina, D., Mazaeda, R., de Prada, C., 2014. Modelling and simulation of the non-ideal mixing behaviour of the crystallization stage in a sugar factory batch crystallizer. Pan 80, 100. | es_ES |
dc.description.references | Vavrinecz, G., 1962. Neue tabelle über die löslichkeit reiner saccharose in was-ser. Zuckerindustrie 12, 481-487. | es_ES |
dc.description.references | Vavrinecz, G., 1978. Formation and composition of beet molasses, I- the equa-tion for solubility. Sugar Tech. Rev 6, 117-129. | es_ES |
dc.description.references | Visioli, A., 2006. Practical PID control. Springer Science & Business Media. | es_ES |
dc.description.references | Wagneowski, O, D. D., Dabrowski, C., 1962. Z.Zuckerind. Z.Zuckerind Vol.12, 564 - 671. | es_ES |
dc.description.references | Wang, L., 2020. PID control system design and automatic tuning using MATLAB/Simulink. John Wiley & Sons. https://doi.org/10.1002/9781119469414 | es_ES |
dc.description.references | Wiklund, O., 1955. Molek ̈ulverbindungen zwischen saccharose und salzen.Zucker 12, 266-277. | es_ES |
dc.description.references | Wright, P., White, E., 1974. A mathematical model of vacuum pan crystallization. In: Proceedings of ISSCT 15th congress. pp. 1546-1560. | es_ES |