Multivariable Predictive Control
Mostrando 1-11 de 11 artigos, teses e dissertações.
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1. Controle PID e Preditivo â Aspectos TeÃricos e de ImplementaÃÃo PrÃtica / Control PID AND Predictive - Theoretical Aspects and Practical Implemantation
Nowadays, we observe the exponential increasing of demand for performance optimization in all areas of modern life. This search for better performances is also occurring in all industry sectors, either factory or energy activities. This best performances reflects an increase is all levels and achieve enormously the process control systems. With more strict p
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 02/09/2011
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2. Indirect adaptive predictive control applied to an industrial tank level plant
Predictive control algorithms have found growing acceptance in academic and industrial applications. However, as every control methodology, it has drawbacks, which is the need for an appropriate process model to be available. Therefore, the controller may become limited in applications with nonlinear and time-varying dynamics. When the predictions are not sa
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 22/06/2011
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3. Multivariable predictive controller with excitation constraint for closed-loop identification. / Controlador preditivo multivariável com restrição de excitação para identificação de processos em malha fechada.
In MPC implementation, the process models development and definition is the most critical and time consuming task. Normally, the models are obtained through plant identification tests where perturbations are individually introduced in the manipulated variable while the controlled variable open-loop behavior is observed. For this reason, the application of cl
Publicado em: 2008
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4. Análise e desenvolvimento de controladores preditivos multivariáveis baseados em multi-modelos bilineares / Análise e desenvolvimento de controladores preditivos multivariáveis baseados em multi-modelos bilineares
This work addresses issues related to analysis and development of multivariable predictive controllers based on bilinear multi-models. Linear Generalized Predictive Control (GPC) monovariable and multivariable is shown, and highlighted its properties, key features and applications in industry. Bilinear GPC, the basis for the development of this thesis, is pr
Publicado em: 2008
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5. Linearização exata adaptativa aplicada ao controle preditivo de processo de nível muntivariável / Adaptive feedback linearization applied to the model based predictive control of a multivariable liquid level process / Adaptive feedback linearization applied to the model based predictive control of a multivariable liquid level process / Linearização exata adaptativa aplicada ao controle preditivo de processo de nível muntivariável
Esta dissertação apresenta uma aplicação de técnias de controle preditivo linear em sistema não-lineares multivariáveis. A principal idéia é baseada na Linearização Exata Adaptativa qu fornece um modelo dinâmico linear desacoplado para ser utilizado como modelo interno do control Model Predictive Control (MPC). A linearização exata do sistema n
Publicado em: 2007
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6. Non-linear multivariable predictive control of an alcoholic fermentation process using functional link networks
Neste trabalho um controlador preditivo não linear multivariável foi desenvolvido para um processo de fermentação alcoólica extrativa. O modelo interno do controlador foi representado por duas redes do tipo Functional Link (FLN), identificadas usando dados de simulação gerados a partir de um modelo validado experimentalmente. A estrutura FLN apresenta
Brazilian Archives of Biology and Technology. Publicado em: 2005-06
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7. Identificação de processos dinamicos não lineares : desenvolvimento de software e aplicação a uma coluna fracionadora de eteno
This paper describes the methodology used in the identification and development of petrochemical non-linear dynamic models. In the present study were used techniques of: data handling; process control; optimization and neural networks. A software tool was developed in order to automate of the procedures. On the other hand, the methodology was tested using an
Publicado em: 2003
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8. FCC : controle preditivo e identificação via redes neurais
A unidade de Craqueamento Catalítico em Leito Fluido - FCC, modelo Kellogg Orthoflow F., representa um processo de refino de petróleo apresentando característica altamente não linear, possuindo fortes interaçães entre as variáveis de produção, e condições de operação extremamente severas. Essas unidades são constituídas basicamente de duas se�
Publicado em: 2002
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9. Analise e controle de um reator de copolimerização
The difficult to measure controlled variables, the existence of interactions, dead time and constraints, added to the nonlinear and multivariable nature, poses a challenger problem for the control of polymerization reactor. These features turn unsuitable the implementation of classical control strategies and, in many polymerization plants, there is an heuris
Publicado em: 2001
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10. Editorial
or multivariable non linear predictive control implementations, a hybrid-neural model (lumped model) was successfully used for modeling a loop-tubular polymerization reactor (a lumped or distributed model, depending on recycle ratio). Bifurcation diagrams were computed in order to investigate the agreement between process and model, of paramount importance f
Brazilian Journal of Chemical Engineering. Publicado em: 2000-12
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11. Modelagem, simulação e controle de reatores cataliticos de leito fixo
In this work, pseudo-homogeneous bi- and uni-dimensional fixed bed catalytic reactors are presented. Such models incorporate the fluid and solid thermal capabilities, (pCp)f e (pCp)s, respectively. The proposed models reproduce a dynamic behaviour expected in a fixed bed catalytic reactor, including the inverse response phenomenon. The bi-dimensional models
Publicado em: 1999