Angular Velocity's Neural Network Observer of the Electric Drive of TVR - Im Type Implemented in Software Environment LabVIEW

L. Kozlova, E. Bolovin, L. Payuk

Research output: Contribution to journalConference article

4 Citations (Scopus)

Abstract

One of the common ways to manage a smooth starting and stopping of asynchronous motors are soft-start system. For this provision is necessary to use a closed speed asynchronous electric drive of tiristor voltage regulator - induction motor (TVR-IM) type. Using real sensors significantly increases the cost of installation and also introduces a number of inconveniences in the operation of the actuator. Observer has clear advantages that are created on artificial neural network. Creating a neural network observer in program graphic programming LabVIEW will allow to evaluate the speed of rotation of the asynchronous electric.

Original languageEnglish
Article number012005
JournalIOP Conference Series: Materials Science and Engineering
Volume132
Issue number1
DOIs
Publication statusPublished - 15 Jun 2016
Event4th International Conference on Modern Technologies for Non-Destructive Testing - Tomsk, Russian Federation
Duration: 5 Oct 201510 Oct 2015

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Electric drives
Angular velocity
Induction motors
Neural networks
Voltage regulators
Actuators
Sensors
Costs

ASJC Scopus subject areas

  • Materials Science(all)
  • Engineering(all)

Cite this

Angular Velocity's Neural Network Observer of the Electric Drive of TVR - Im Type Implemented in Software Environment LabVIEW. / Kozlova, L.; Bolovin, E.; Payuk, L.

In: IOP Conference Series: Materials Science and Engineering, Vol. 132, No. 1, 012005, 15.06.2016.

Research output: Contribution to journalConference article

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