Nonlinear modeling of laboratory model AMIRA DR300 by feedforward neural network

Hubáček, Jiří; Bobál, Vladimír

Title:

Author:

Hubáček, Jiří; Bobál, Vladimír

Document type:

Conference paper (English)

Source document:

MENDEL 2011. 2011, vol. 2011, p. 191-198

ISSN:

1803-3814 (Sherpa/RoMEO, JCR)

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ISBN:

978-80-214-4302-0

Abstract:

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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Citace článku v konferenčním sborníku:
HUBÁČEK, Jiří a Vladimír BOBÁL. Nonlinear modeling of laboratory model AMIRA DR300 by feedforward neural network. In: MENDEL 2011 [online]. Brno: Vysoké učení technické v Brně, 2011, s. 191-198. ISSN 1803-3814.

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