Nonlinear Predictive Control
Mostrando 1-12 de 51 artigos, teses e dissertações.
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1. A METHODOLOGY TO OBTAIN ANALYTICAL MODELS THAT REDUCE THE COMPUTATIONAL COMPLEXITY FACED IN REAL TIME IMPLEMENTATION OF NMPC CONTROLLERS
Abstract Model Predictive Control, MPC and NMPC, and real-time optimization, RTO and D-RTO, are known to help plant operability through the mitigation of impacts caused by external disturbances. However, the usage of these tools in industry requires overcoming some challenges, for instance: accurate models of the process, particularly in regard to nonlineari
Braz. J. Chem. Eng.. Publicado em: 09/12/2019
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2. A Regional Legacy Soil Dataset for Prediction of Sand and Clay Content with Vis-Nir-Swir, in Southern Brazil
ABSTRACT The success of soil prediction by VIS-NIR-SWIR spectroscopy has led to considerable investment in large soil spectral libraries. The aims of this study were 1) to develop a soil VIS-NIR-SWIR spectroscopy approach using legacy soil samples to improve spectral soil information in a regional scale; (2) to compare six spectral preprocessing techniques;
Rev. Bras. Ciênc. Solo. Publicado em: 15/08/2019
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3. PREDICTIVE CONTROL OF A BATCH POLYMERIZATION SYSTEM USING A FEEDFORWARD NEURAL NETWORK WITH ONLINE ADAPTATION BY GENETIC ALGORITHM
Abstract This study used a predictive controller based on an empirical nonlinear model comprising a three-layer feedforward neural network for temperature control of the suspension polymerization process. In addition to the offline training technique, an algorithm was also analyzed for online adaptation of its parameters. For the offline training, the networ
Braz. J. Chem. Eng.. Publicado em: 2016-03
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4. Online hybrid modeling method with application for predicting Bauxite production indicators
Abstract In the bauxite flotation process, concentrate grade and tailings grade are key production indicators; however, they are difficult to measure online. It is also difficult to develop an effective mathematical model for the process because of the complex non-linear and uncertain relationship among the feed parameters (feed grade, pulp density, slurry p
Rem: Rev. Esc. Minas. Publicado em: 2015-12
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5. Controle preditivo baseado em modelo neuro-fuzzy de sistemas não-lineares aplicado em sistema de refrigeração = : Model predictive control based on neuro-fuzzy nonlinear systems applied to a refrigeration plant / Model predictive control based on neuro-fuzzy nonlinear systems applied to a refrigeration plant
Refrigeration systems can be found in many different branches of industry and are characterized as great energy consumers with considerable non-linear behavior. Several studies have been developed to promote the reduction of energy costs and to minimize the effects of nonlinearities in these systems. The use of automation and process control, particularly th
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 03/07/2012
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6. Implementação prática de um controlador preditivo a um processo não-linear
A padronização dos procedimentos operacionais nas plantas químicas através do emprego de automação vem tornando-se uma prática obrigatória para as atuais empresas que ocupam ou tentam ocupar um lugar de destaque no competitivo mercado de commodities. Ganhos reais de produtividade e recuperação estão intimamente associados ao desempenho dos control
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 30/06/2012
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7. Estratégias com garantia de estabilidade para a integração de controle preditivo e otimização em tempo real. / Strategies with guarantee of stability for the integration of model predictive control and real time optimization
The aim of this Thesis is the development of predictive controllers (MPC) with guarantee of stability and that are part of a control structure where Real Time Optimization (RTO) is present and produces optimizing targets for the predictive controller. The approaches of two and three-layer are considered. Three different strategies are presented: the first st
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 23/03/2012
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8. 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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9. Parameter estimation for LLDPE gas-phase reactor models
Product development and advanced control applications require models with good predictive capability. However, in some cases it is not possible to obtain good quality phenomenological models due to the lack of data or the presence of important unmeasured effects. The use of empirical models requires less investment in modeling, but implies the need for large
Publicado em: 2011
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10. Implantação de otimizador online acoplado ao controle preditivo (MPC) de uma coluna de Tolueno. / Implementation of online optimizer integrated with predictive control (MPC) of a toluene column.
O objetivo principal desta tese foi a implantação de uma nova estratégia para a integração da otimização em tempo real (RTO), com o controle preditivo multivariável em uma unidade de processo industrial. A solução proposta pode ser considerada como uma estratégia de uma camada, na qual os problemas de controle e otimização econômica são resolv
Publicado em: 2011
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11. Controle preditivo não-linear baseado em multimodelos aplicado ao motor de indução / Induction motor non-linear predictive control based on a multimodeling approach
Uma abordagem preditiva global-local para o controle de um motor de indução é apresentado nesta tese. O conceito de controle preditivo diz respeito a uma classe de controladores que tem se desenvolvido muito no âmbito do controle de sistemas de conversão de energia nos últimos anos, acompanhando o desenvolvimento da capacidade computacional dos sistema
Publicado em: 2010
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12. Development, implementation and performance evaluation of a self-tuning regulator adaptive controller applied to a FCC process / Desenvolvimento, implementação e avaliação de desempenho de um controlador adaptativo do tipo self-tuning regulator aplicado a um processo FCC
This work had as main objective the development and implementation of an selftuning regulator (STR) adaptive controller, with subsequent comparison of its performance with a PID (proportional-integral-derivative) controller and two predictive controllers, namely a predictive based on artificial neural networks (MPC-ANN) and a dynamic matrix controller (DMC).
Publicado em: 2010