Robust adaptive process control of a polymerization reactor

Mendoza-Bustos, Sergio A.; Penlidis, Alexander; Cluett, William R.

doi:10.1016/0098-1354(90)87063-u

Cited by 9 publications

(2 citation statements)

References 7 publications

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“…In addition to these, one may have to solve a different problem (arising due to different kinds of failures) for the same system a few times for online optimizing control, and this must be done quickly in real time (no such restriction on the computational time may exist for offline optimization). Though several studies − have been reported on online optimizing control, the use of evolutionary algorithms is quite cumbersome because of the high computational effort required. In all such cases the results of an optimization problem solved previously, often a simpler (original) problem can be used intelligently to solve the new (modified) optimization problem with lower computational effort than required otherwise.…”

Section: Introductionmentioning

confidence: 99%

Biomimetic Adaptation of the Evolutionary Algorithm, NSGA-II-aJG, Using the Biogenetic Law of Embryology for Intelligent Optimization

Ramteke

Gupta

2009

Ind. Eng. Chem. Res.

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Several of the recent optimization techniques have been adapted from nature. The elitist nondominated sorting genetic algorithm with the adapted jumping gene operator (NSGA-II-aJG) is one such evolutionary technique inspired by genetics. This algorithm is quite useful for solving multiobjective optimization problems. The drawback of these techniques is the inordinately large amount of computational effort required for solving real-life problems, even though these techniques are quite robust as compared to conventional techniques. Their use for online optimization is particularly limited. Many industrial optimization problems require frequent changes in the objective functions as well as the decision variables, even though the system itself remains the same. Surprisingly, no algorithm has been developed which makes use of previous information for solving a different problem for the same system in a comparatively short (computational) time. The algorithm developed in this study, namely, B-NSGA-II-aJG, carries this out more intelligently using the biogenetic law of embryology. This algorithm increases the speed of convergence significantly.

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Section: Introductionmentioning

confidence: 99%

Biomimetic Adaptation of the Evolutionary Algorithm, NSGA-II-aJG, Using the Biogenetic Law of Embryology for Intelligent Optimization

Ramteke

Gupta

2009

Ind. Eng. Chem. Res.

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“…Nestes últimos anos, muito esforço tem sido feito no sentido de desenvolver um "processo inteligente" para a síntese de macromoléculas com propriedades intrínsecas previamente definidas (Tirrel e Gromley, 1981;Guyot et al, 1981;Guillot, 1981;Johnson et al, 1982;Broadhead et al, 1985;Louie e Soong, 1985;Hamielec et al, 1987;Kravaris et al, 1987;Rawlings e Ray, 1987;Rawlings e Ray, 1988;Ponnuswamy et al, 1988;Kravaris et al, 1989;Arzamendi e Asua, 1989;Dimitratos et al, 1989a;Dimitratos et al, 1989b;Choi, 1989;Arzamendi e Asua, 1990;Alvarez et al, 1990;Mendoza -Bustos et al, 1990;Arzamendi e Asua, 1991;Urquiola et al, 1991;Van Doremaele et al, 1992;Van Dootingh et al, 1992;Kozub and MacGregor, 1992a;Kozub e MacGregor, 1992b;Butala et al, 1992;Leiza et al, 1993a;Leiza et al, 1993b;Urretabizkaia et al, 1993;Canegallo et al, 1993;Canu et al, 1994;Canegallo et al, 1994;Paquet e Ray, 1994a; Paquet e Ray, 1994b;Dimitratos et al, 1994;Urretabiskaia et al, 1994;Ellis et al, 1994;Gugliotta et al, 1995;Santos, 1996;Févotte et al, 1996a;…”

Section: Controle De Processos De Polimerizaçãounclassified

Estudo comparativo entre observador de estado não-linear de alto ganho e calorimetria associada a redes neurais artificiais para previsão de composição de copolimeros produzidos em emulsão com altos teores solidos

Giordani¹,

Krähenbühl²

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Gostaria de registrar um especial agradecimento à professora Maria Alvina Krähenbühl pelo apoio, por sua postura sempre positiva e, acima de tudo, por sua enorme paciência.Ao amigo e co-orientador Amilton Martins dos Santos por sua confiança e pelas oportunidades a mim oferecidas.Ao amigo Pedro pelos momentos de discussão, por sua sinceridade ao tecer criticas construtivas.A minha amiga Lu por, com sua constante luz, ter-me aberto a porta certa na hora certa.Aos demais amigos do laboratório de polímeros da Faenquil, especialmente à grande amiga Gizelda, pelo apoio e pelos momentos de descontração.Aos alunos Alexandre, Juliano e Sávio, pela colaboração nas exaustivas polimerizações e análises.À FAPESP pelo apoio financeiro para a montagem do laboratório de polímeros da FAENQUIL.Ao CNPq pelo apoio financeiro para o estágio realizado na França.Ao CNRS pelo apoio financeiro durante o estágio realizado na França. Ao Dr. Timothy McKenna por abrir as portas de seu laboratório e, literalmente, de sua sala no LCPP, em LYON, para realização de um valioso estágio.

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A survey of advanced control of polymerization reactors

Embiruçu

Lima

Pinto

1996

Polymer Engineering & Sci

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A survey of the most recent papers regarding the advanced control of polymerization reactors is carried out. Special attention is focused on optimal control theory, nonlinear control, adaptive control, and predictive control. A review is also performed in related areas, such as optimization and state estimation in polymerization systems. I t is shown that there is a huge gap between industry and research practices. Actual implementation of advanced control theory in the polymerization area requires the improvement of measurement and state estimation techniques.

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Robust adaptive process control of a polymerization reactor

Cited by 9 publications

References 7 publications

Biomimetic Adaptation of the Evolutionary Algorithm, NSGA-II-aJG, Using the Biogenetic Law of Embryology for Intelligent Optimization

Biomimetic Adaptation of the Evolutionary Algorithm, NSGA-II-aJG, Using the Biogenetic Law of Embryology for Intelligent Optimization

Estudo comparativo entre observador de estado não-linear de alto ganho e calorimetria associada a redes neurais artificiais para previsão de composição de copolimeros produzidos em emulsão com altos teores solidos

A survey of advanced control of polymerization reactors

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