Motion control simulating in a viscous liquid of a body with variable geometry of weights

Statement of a problem of management of movement of a body in a viscous liquid is given. Movement bodies it is induced by moving of internal material points. On a basis the numerical decision of the equations of movement of a body and the hydrodynamic equations approximating dependencies for viscous...

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Main Authors: Eugene Vladimirovich Vetchanin, Valentin Alexseevitch Tenenev
Format: Article
Language:Russian
Published: Institute of Computer Science 2011-12-01
Series:Компьютерные исследования и моделирование
Subjects:
Online Access:http://crm.ics.org.ru/uploads/crmissues/crm_2011_04/04_371-381.pdf
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spelling doaj-f7e6caa681f24d39b647f239a8ec0cb52020-11-24T21:51:52ZrusInstitute of Computer ScienceКомпьютерные исследования и моделирование2076-76332077-68532011-12-013437138110.20537/2076-7633-2011-3-4-371-3811832Motion control simulating in a viscous liquid of a body with variable geometry of weightsEugene Vladimirovich VetchaninValentin Alexseevitch TenenevStatement of a problem of management of movement of a body in a viscous liquid is given. Movement bodies it is induced by moving of internal material points. On a basis the numerical decision of the equations of movement of a body and the hydrodynamic equations approximating dependencies for viscous forces are received. With application approximations the problem of optimum control of body movement dares on the set trajectory with application of hybrid genetic algorithm. Possibility of the directed movement of a body under action is established back and forth motion of an internal point. Optimum control movement direction it is carried out by motion of other internal point on circular trajectory with variable speed.http://crm.ics.org.ru/uploads/crmissues/crm_2011_04/04_371-381.pdfoptimum controlthe equations of movementNavier–Stokes equationsnumerical methodsfuzzy decision treesgenetic algorithm
collection DOAJ
language Russian
format Article
sources DOAJ
author Eugene Vladimirovich Vetchanin
Valentin Alexseevitch Tenenev
spellingShingle Eugene Vladimirovich Vetchanin
Valentin Alexseevitch Tenenev
Motion control simulating in a viscous liquid of a body with variable geometry of weights
Компьютерные исследования и моделирование
optimum control
the equations of movement
Navier–Stokes equations
numerical methods
fuzzy decision trees
genetic algorithm
author_facet Eugene Vladimirovich Vetchanin
Valentin Alexseevitch Tenenev
author_sort Eugene Vladimirovich Vetchanin
title Motion control simulating in a viscous liquid of a body with variable geometry of weights
title_short Motion control simulating in a viscous liquid of a body with variable geometry of weights
title_full Motion control simulating in a viscous liquid of a body with variable geometry of weights
title_fullStr Motion control simulating in a viscous liquid of a body with variable geometry of weights
title_full_unstemmed Motion control simulating in a viscous liquid of a body with variable geometry of weights
title_sort motion control simulating in a viscous liquid of a body with variable geometry of weights
publisher Institute of Computer Science
series Компьютерные исследования и моделирование
issn 2076-7633
2077-6853
publishDate 2011-12-01
description Statement of a problem of management of movement of a body in a viscous liquid is given. Movement bodies it is induced by moving of internal material points. On a basis the numerical decision of the equations of movement of a body and the hydrodynamic equations approximating dependencies for viscous forces are received. With application approximations the problem of optimum control of body movement dares on the set trajectory with application of hybrid genetic algorithm. Possibility of the directed movement of a body under action is established back and forth motion of an internal point. Optimum control movement direction it is carried out by motion of other internal point on circular trajectory with variable speed.
topic optimum control
the equations of movement
Navier–Stokes equations
numerical methods
fuzzy decision trees
genetic algorithm
url http://crm.ics.org.ru/uploads/crmissues/crm_2011_04/04_371-381.pdf
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