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Повышение эффективности управления движением полуавтоматических и автоматических протезируемых систем опорно-двигательного аппарата человека

Повышение эффективности управления движением полуавтоматических и автоматических протезируемых систем опорно-двигательного аппарата человека

Abstract

В работе рассматриваются методы повышения эффективности управления движением полуавтоматических и автоматических протезируемых устройств опорно-двигательного аппарата человека, приводятся структурные схемы их системы управления, а также блока управления. Авторами предложена модификация системы управления протезируемого устройства, основным элементом которой является нейросетевой преобразователь информации, позволяющий обеспечить заданную точность значений выходных переменных движения устройства. Особое внимание уделяется математическому моделированию функционированию системы управления.

In article consider methods to improve the efficiency of traffic management semiautomatic and automatic prosthetics devices of men’s low limbs, the block diagram of the control system and the control unit. The authors proposed a modification of the control system prosthetic device whose main element is a neural network data converter that allows to achieve a desired accuracy of the output variables of motion device. Particular attention is paid to the mathematical modeling of the control system.

Keywords

ПРОТЕЗИРУЕМЫЕ УСТРОЙСТВА, СИСТЕМА УПРАВЛЕНИЯ, НЕЙРОСЕТЕВОЙ ПРЕОБРАЗОВАТЕЛЬ ИНФОРМАЦИИ

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold