Kontaktujte nás | Jazyk: čeština English
Název: | Nonlinear modeling of laboratory model AMIRA DR300 by feedforward neural network | ||||||||||
Autor: | Hubáček, Jiří; Bobál, Vladimír | ||||||||||
Typ dokumentu: | Článek ve sborníku (English) | ||||||||||
Zdrojový dok.: | MENDEL 2011. 2011, vol. 2011, p. 191-198 | ||||||||||
ISSN: | 1803-3814 (Sherpa/RoMEO, JCR) | ||||||||||
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ISBN: | 978-80-214-4302-0 | ||||||||||
Abstrakt: | Purpose of this paper is to design a nonlinear feedforward neural network model of a laboratory model AMIRA DR300 (made by AMIRA, Duisburg, Germany). This device consists of two direct-current engines, whose shafts are connected together by a fixed shaft coupling. An output value of the laboratory model is a rotation speed of this shaft coupling and it can be measured either by a tachometer generator, or an incremental position sensor. The first engine was modeling by neural network. The second one is used to apply as a generator of a faulty measured value. | ||||||||||
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