Algoritmos genéricos para otimização de uma arquitetura de controle inteligente híerárquico

AUTOR(ES)

Carlos André Guerra Fonseca

DATA DE PUBLICAÇÃO

2005

RESUMO

A hierarchical fuzzy control scheme is applied to improve vibration suppression by using an electro-mechanical system based on the lever principle. The hierarchical intelligent controller consists of a hierarchical fuzzy supervisor, one fuzzy controller and one robust controller. The supervisor combines controllers output signal to generate the control signal that will be applied on the plant. The objective is to improve the performance of the electromechanical system, considering that the supervisor could take advantage of the different techniques based controllers. The robust controller design is based on a linear mathematical model. Genetic algorithms are used on the fuzzy controller and the supervisor tuning, which are based on non-linear mathematical model. In order to attest the efficiency of the hierarchical fuzzy control scheme, digital simulations were employed. Some comparisons involving the optimized hierarchical controller and the non-optimized hierarchical controller will be made to prove the efficiency of the genetic algorithms and the advantages of its use

ASSUNTO(S)

fuzzy control controle nebuloso algoritmos genéticos hierarchical control controle hierárquico genetic algorithms robust control engenharia eletrica controle robusto

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