Parallel mathematical models of dynamic objects

The paper deals with the developing of the methodological backgrounds for the modeling and simulation of complex dynamical objects. Such backgrounds allow us to perform coordinate transformation and formulate the algorithm of its usage for transforming the serial mathematical model into parallel one...

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Main Authors: Roman Voliansky, Andri Pranolo
Format: Article
Language:English
Published: Universitas Ahmad Dahlan 2018-07-01
Series:IJAIN (International Journal of Advances in Intelligent Informatics)
Subjects:
Online Access:http://ijain.org/index.php/IJAIN/article/view/229
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spelling doaj-df456821a2a946ca8ecaa70329f27fbc2020-11-24T21:17:19ZengUniversitas Ahmad DahlanIJAIN (International Journal of Advances in Intelligent Informatics)2442-65712548-31612018-07-014212013110.26555/ijain.v4i2.22993Parallel mathematical models of dynamic objectsRoman Voliansky0Andri Pranolo1Dniprovsky State Technical UniversityUniversitas Ahmad DahlanThe paper deals with the developing of the methodological backgrounds for the modeling and simulation of complex dynamical objects. Such backgrounds allow us to perform coordinate transformation and formulate the algorithm of its usage for transforming the serial mathematical model into parallel ones. This algorithm is based on partial fraction decomposition of the transfer function of a dynamic object. Usage of proposed algorithms is one of the ways to decrease calculation time and improve PC usage while a simulation is being performed. We prove our approach by considering the example of modeling and simulating of fourth order dynamical object with various eigenvalues. This example shows that developed parallel model is stable, well-convergent, and high-accuracy model. There is no defined any calculation errors between well-known serial model and proposed parallel one. Nevertheless, the proposed approach’s usage allows us to reduce calculation time by more than 20% by using several CPU’s cores while calculations are being performed.http://ijain.org/index.php/IJAIN/article/view/229Mathematical modelState space equationsTransfer functionNumerical methodsDC electric drive model
collection DOAJ
language English
format Article
sources DOAJ
author Roman Voliansky
Andri Pranolo
spellingShingle Roman Voliansky
Andri Pranolo
Parallel mathematical models of dynamic objects
IJAIN (International Journal of Advances in Intelligent Informatics)
Mathematical model
State space equations
Transfer function
Numerical methods
DC electric drive model
author_facet Roman Voliansky
Andri Pranolo
author_sort Roman Voliansky
title Parallel mathematical models of dynamic objects
title_short Parallel mathematical models of dynamic objects
title_full Parallel mathematical models of dynamic objects
title_fullStr Parallel mathematical models of dynamic objects
title_full_unstemmed Parallel mathematical models of dynamic objects
title_sort parallel mathematical models of dynamic objects
publisher Universitas Ahmad Dahlan
series IJAIN (International Journal of Advances in Intelligent Informatics)
issn 2442-6571
2548-3161
publishDate 2018-07-01
description The paper deals with the developing of the methodological backgrounds for the modeling and simulation of complex dynamical objects. Such backgrounds allow us to perform coordinate transformation and formulate the algorithm of its usage for transforming the serial mathematical model into parallel ones. This algorithm is based on partial fraction decomposition of the transfer function of a dynamic object. Usage of proposed algorithms is one of the ways to decrease calculation time and improve PC usage while a simulation is being performed. We prove our approach by considering the example of modeling and simulating of fourth order dynamical object with various eigenvalues. This example shows that developed parallel model is stable, well-convergent, and high-accuracy model. There is no defined any calculation errors between well-known serial model and proposed parallel one. Nevertheless, the proposed approach’s usage allows us to reduce calculation time by more than 20% by using several CPU’s cores while calculations are being performed.
topic Mathematical model
State space equations
Transfer function
Numerical methods
DC electric drive model
url http://ijain.org/index.php/IJAIN/article/view/229
work_keys_str_mv AT romanvoliansky parallelmathematicalmodelsofdynamicobjects
AT andripranolo parallelmathematicalmodelsofdynamicobjects
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