CALCULATION ON RECURSIVE NEURAL NETWORKS MATHEMATICAL MODELS OF ASYNCHRONOUS MOTORS; POWERED BY THE AUTONOMOUS VOLTAGE INVERTERS

Authors

  • I. A. Orlovskiy
  • Yu. V. Golianchuk

Keywords:

Inverter, neural networks, model, asynchronous motor

Abstract

The design procedure and examples of the asynchronous drive models calculation on polynomial recurrent
neural networks (PRNN), proceeding from experimental data about modes of its work at the independent
inverter of voltage with pulse-width modulation is offered. The method of imitating modeling investigates
the accuracy of the offered technique and internal parameters of the asynchronous drive from weight
coefficient PRNN are calculated.

References

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Днепропетровск : Национальный горныйуниверситет, 2006. – 470 с.

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Бодянский Е. В. Искусственные нейронные сети: архитектуры, обучение, применения / Е. В. Бодянский, О. Г. Руденко. – Харьков: ТЕЛЕТЕХ, 2004. –372 с.

Орловский И. А. Расчет моделей тиристорного электропривода постоянного тока на полиномиальных рекуррентных нейронных сетях / И. А. Орловский, А. А. Синявский // Електротехніка та електроенергетика. – 2008. – № 1. – C. 7–20.

Орловский И. А. Расчет моделей тягового асинхронного двигателя на полиномиальных рекуррентных нейронных сетях / И. А. Орловский // Вестник НТУ «ХПИ» : сборник научных трудов «Проблемы автоматизированного привода. Теория и практика». – Харьков. – 2008. – С. 582–585.

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How to Cite

Orlovskiy, I. A., & Golianchuk, Y. V. (2009). CALCULATION ON RECURSIVE NEURAL NETWORKS MATHEMATICAL MODELS OF ASYNCHRONOUS MOTORS; POWERED BY THE AUTONOMOUS VOLTAGE INVERTERS. Electrical Engineering and Power Engineering, (1). Retrieved from http://ee.zntu.edu.ua/article/view/103014

Issue

No. 1 (2009): Electrical Engineering and Power Engineering

Section

Electrotechnics

License

Copyright (c) 2017 I. A. Orlovskiy, Yu. V. Golianchuk

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