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http://repositorio.ufla.br/jspui/handle/1/13178| Título: | Black and Gray-Box Identification of a Hydraulic Pumping System |
| Palavras-chave: | Genetic algorithms Gray-box Hydraulic system Simulation error Static function Hydraulic pumping pystem Algorítmos genéticos Caixa de cinza Sistema hidráulico Erro de simulação Função estática Hydraulic pumping pystem |
| Data do documento: | Mar-2011 |
| Editor: | Institute of Electrical and Electronics Engineers |
| Citação: | BARBOSA, B. H. G. et al. Black and Gray-Box Identification of a Hydraulic Pumping System. IEEE Transactions on Control Systems Technology, New York, v. 19, n. 2, p. 398-406, Mar. 2011. |
| Resumo: | The use of auxiliary information during the identifi- cation of nonlinear systems can be handled in different ways and at different levels. In this brief, static information of a 15 kW hydraulic pumping system is used as a priori knowledge in the parameters estimation of polynomial models which are compared to polynomial and neural models obtained by black-box techniques. The aim is to find models with good performance in both transient and steady-state regimes. This brief presents a novel bi-objective problem that uses free-run simulation and a new decisionmaker. The optimization problem is solved using a genetic algorithm. Compared with other techniques, the proposed approach can lead to models with better dynamic and static performance. |
| URI: | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5422811 http://repositorio.ufla.br/jspui/handle/1/13178 |
| Aparece nas coleções: | DEG - Artigos publicados em periódicos |
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