DocumentCode :
1429858
Title :
Black and Gray-Box Identification of a Hydraulic Pumping System
Author :
Barbosa, Bruno H G ; Aguirre, Luis A. ; Martinez, Carlos B. ; Braga, Antônio P.
Author_Institution :
Dept. de Eng., Univ. Fed eral deLavras, Lavras, Brazil
Volume :
19
Issue :
2
fYear :
2011
fDate :
3/1/2011 12:00:00 AM
Firstpage :
398
Lastpage :
406
Abstract :
The use of auxiliary information during the identification 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 decision-maker. 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.
Keywords :
autoregressive moving average processes; genetic algorithms; hydraulic systems; nonlinear systems; parameter estimation; pumping plants; bi-objective problem; black-box identification; genetic algorithm; gray-box identification; hydraulic pumping system; nonlinear systems; parameters estimation; polynomial models; Genetic algorithms; gray-box; hydraulic system; identification; multi-objective; nonlinear autoregressive with moving average and exogenous variables (NARMAX); simulation error; static function;
fLanguage :
English
Journal_Title :
Control Systems Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6536
Type :
jour
DOI :
10.1109/TCST.2010.2042600
Filename :
5422811
Link To Document :
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