| Revista: | Controle & automacao |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000315449 |
| ISSN: | 0103-1759 |
| Autores: | Silva, Valceres V.R.E1 Khatib, Wael2 Fleming, Peter J |
| Instituciones: | 1Universidade Federal de Sao Joao del Rei, Sao Joao del Rei, Minas Gerais. Brasil 2University of Sheffield, Sheffield, Yorkshire. Reino Unido |
| Año: | 2006 |
| Periodo: | Ene-Mar |
| Volumen: | 17 |
| Número: | 1 |
| Paginación: | 24-31 |
| País: | Brasil |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Aplicado, descriptivo |
| Resumen en inglés | To design controllers for complex non-linear systems usually involves the use of expensive computational models. A non-linear thermodynamic model of a gas turbine engine is used to evaluate a selection of designs for a multivariable PI controller configuration. An approach using variable complexity modelling (VCM) is introduced to allow more designs to be evaluated and also to speed up the design process. Response surface methodology (RSM) is a statistical technique in which smooth functions are used to model an objective function. RSM employs statistical methods to create functions, typically polynomials, to model the response or outcome of a numerical experiment in terms of several independent variables. Regression analysis is applied to fit polynomial models to this data for various control responses. These control responses models are evaluated by a multiobjective genetic algorithm to design the controller parameters. The final designs are checked using the original non-linear model |
| Disciplinas: | Ingeniería |
| Palabras clave: | Ingeniería de control, Algoritmos genéticos, Control multiobjetivo, Optimización, Sistemas no lineales, Controladores, Modelado |
| Keyword: | Engineering, Control engineering, Genetic algorithms, Multiobjective control, Optimization, Nonlinear systems, Controllers, Modelling |
| Texto completo: | Texto completo (Ver HTML) |
