NEURO-CONTROLLER SYNTHESIS TO FORM A FLAT SPEED-TORQUE CHARACTERISTICS OF SWITCHED RELUCTANCE MOTORS

  • Юрій Остапович Бобечко National University "Lviv Polytechnic"
  • Андрій Орестович Лозинський National University "Lviv Polytechnic"

Abstract

To create a sensorless control system of switched reluctance motors (SRM) that provides a flat speed-torque characteristics, a feedforward artificial neural network (ANN), that uses currents as the input signals, was synthesized. By computer modeling the work of the sensorless control system using created ANN was researched.

Author Biographies

Юрій Остапович Бобечко, National University "Lviv Polytechnic"

Graduate student

Андрій Орестович Лозинський, National University "Lviv Polytechnic"

doctor of technical sciences, professor

Published
2019-02-17
How to Cite
Бобечко, Ю., & Лозинський, А. (2019). NEURO-CONTROLLER SYNTHESIS TO FORM A FLAT SPEED-TORQUE CHARACTERISTICS OF SWITCHED RELUCTANCE MOTORS. Electrotechnic and Computer Systems, (4(80), 51-55. Retrieved from http://eltecs.opu.ua/index.php/journal/article/view/827
Section
Computer Systems, Networks and their Components