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Industrial Automatic Control Systems and Controllers

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Synthesis Predicting Neyroidentifi cation on the Basis of Ensemble of Indistinct Neural Networks for Adaptive Systems of Robots With Parallel Mechanics
V.M. Buyankin

Robots manipulators with parallel kinematics have found now wide application in various areas of a science and technics. Use of robots of manipulators with parallel kinematics allows to carry out diffi cult technological operations. For increase of reliability of movement of bars of neyroforecastin nipulators are used digital watching the electric drive. However a friction (dry and viscous), the variable moments of inertia, variable rigidity of designs of robots are indistinct parametres which are diffi cult for calculating and predicting. Therefore usual classical approaches and calculations of these parametres do not give positive results. That essentially infl uences accuracy of work of robots of manipulators with parallel kinematics. Therefore it is necessary to develop new methods neyroidentifi cation and neyroforecastingon the basis of ensemble of neural networks with indistinct logic.
Keywords: mechatronic systems; robots manipulators; digital servo drives; the ensemble of neyroidentifi cation.

Contacts: E-mail: Viktor-Buyankin@yandex.ru

Pp. 50-53.

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