Algoritmos genéticos para sintonia simultânea de múltiplos controladores em processos de refino
This work proposes the use of genetic algorithms to tuning decoupled controllers for multivariable systems for refine process. It is presented a new fitness function for genetic algorithm that considers both ITSE (Integral Time Squared Error) and minimum variance criteria. The proposed technique...
| Autor principal: | Swiech, Maria Cristina Szpack |
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| Formato: | Dissertação |
| Idioma: | Português |
| Publicado em: |
Centro Federal de Educação Tecnológica do Paraná
2010
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| Assuntos: | |
| Acesso em linha: |
http://repositorio.utfpr.edu.br/jspui/handle/1/114 |
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| Resumo: |
This work proposes the use of genetic algorithms to tuning decoupled controllers for
multivariable systems for refine process.
It is presented a new fitness function for genetic algorithm that considers both ITSE
(Integral Time Squared Error) and minimum variance criteria. The proposed technique can be
applied to tune different control architectures also including non-linear controllers to process
presenting strong interactions among its variables.
In order to demonstrate the performance of the proposed method, it is applied to
three multivariable processes Wood-Berry Distillation Column, Isopropanol Distillation
Column and Fluid Catalytic Cracking (FCC), with the use of PID (proportional-integralderivative)
and PD-fuzzy decentralised controllers.
This approach shows good performance and can be extend to different kinds of
controllers and processes. |
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