SciELO - Scientific Electronic Library Online

 
vol.18 número4Feedforward ins aiding: an investigation of maneuvers for in-flight alignmentControle nebuloso adaptativo por modelo de referência: projeto e aplicação em sistemas não lineares índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Journal

Artigo

Indicadores

Links relacionados

Compartilhar


Sba: Controle & Automação Sociedade Brasileira de Automatica

versão impressa ISSN 0103-1759

Resumo

SILVA, Valceres V. R. e; KHATIB, Wael  e  FLEMING, Peter J.. Control system design for a gas turbine engine using evolutionary computing for multidisciplinary optimization. Sba Controle & Automação [online]. 2007, vol.18, n.4, pp.471-478. ISSN 0103-1759.  https://doi.org/10.1590/S0103-17592007000400007.

Multidisciplinary optimization (MDO) is concerned with complex systems exhibiting challenges in terms of organization and scale. Thus, it is well suited to be applied to complex multivariable control design. Collaborative optimization is one approach for dealing with complex multidisciplinary optimization problems. Three MDO architectures, including collaborative optimization, are applied to control system design for a gas turbine engine, in order to improve the design search process by exploring possible solutions with parallel, but independent search strands. The optimization is carried out through a multiobjective genetic algorithm framework.

Palavras-chave : Genetic algorithms; gas turbines; optimization; PI controllers.

        · texto em Inglês     · Inglês ( pdf )

 

Creative Commons License Todo o conteúdo deste periódico, exceto onde está identificado, está licenciado sob uma Licença Creative Commons