Electric drive control systems with neural network technologies

Alexey Sinyukov, Tatiana Sinyukova, Elena Gracheva, Stanimir Valtchev, Viktor Meshcheryakov

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)


The research is devoted to the development of hybrid sensorless control systems based on non-adaptive controllers and neural network controllers of various structures. The main methods used in the study are related to the mathematical modeling of these systems in Matlab Simulink. The results of the study are hybrid systems that take into account the heating of the motor windings during its operation, which showed an acceptable processing of the speed signal. The paper proposes algorithms of neural network technologies as a variant of implementing the speed observer structure. The modeling of observers carried out in the study with their subsequent testing in simulation modes made it possible to evaluate the qualities of each of the systems and draw a conclusion about the qualitative superiority of neural network algorithms over the classical mathematical apparatus. The structure of the control system of an asynchronous electric drive with a digital speed monitor is proposed, which, in addition to determining the speed, takes into account the state data of the drive and monitors the state of the engine components. The possibilities of applied implementation of the obtained control systems at various levels of automation are considered: from a simple controller at the drive level to remote cloud spaces. The study of the functioning of the observers in question was carried out by analyzing the dynamics of the speed change at resistance values of 1.25 of the nominal value. The error error in speed when using neural network technologies lies in the range of 0.1•10-6⋯ 0.2•10-6 rad/s.

Original languageEnglish
Title of host publicationProceedings - 2022 IEEE 4th Global Power, Energy and Communication Conference, GPECOM 2022
Place of PublicationNew Jersey
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages6
ISBN (Electronic)978-1-6654-6925-8
ISBN (Print)978-1-6654-6926-5
Publication statusPublished - 2022
Event4th IEEE Global Power, Energy and Communication Conference, GPECOM 2022 - Cappadocia, Turkey
Duration: 14 Jun 202217 Jun 2022

Publication series

NameProceedings - 2022 IEEE 4th Global Power, Energy and Communication Conference, GPECOM 2022


Conference4th IEEE Global Power, Energy and Communication Conference, GPECOM 2022


  • a non-adaptive observer
  • asynchronous motor
  • Matlab Simulink
  • modeling
  • neurocontroller
  • vector control system


Dive into the research topics of 'Electric drive control systems with neural network technologies'. Together they form a unique fingerprint.

Cite this