Autonomous inverters' PWM methods for remotely controlled unmanned underwater vehicles

V. M. Rulevskiy, A. A. Pravikova, D. Yu Lyapunov

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper deals with the study of the pulse-width modulation (PWM) methods of autonomous inverters control. The three PWM methods are analyzed. A model enabling study of all considered PWM methods is created via the Matlab/Simulink software. Essential characteristics of the PWM methods are obtained. The vector simplex PWM method is outlined as the most appropriate for control of the autonomous inverter at remotely operated underwater vehicles. The fundamental component of output voltage and voltage conversion ratio are high enough in this case to meet all requirements to the power supply systems of the remotely operated underwater vehicles. Moreover, the method ensures a good harmonic composition of output voltage.

Original languageEnglish
Title of host publication2016 2nd International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509013227
DOIs
Publication statusPublished - 2016
Event2nd International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2016 - Chelyabinsk, Russian Federation
Duration: 19 May 201620 May 2016

Publication series

Name2016 2nd International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2016 - Proceedings

Conference

Conference2nd International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2016
CountryRussian Federation
CityChelyabinsk
Period19.5.1620.5.16

Keywords

  • autonomous inverter
  • control method
  • harmonic spectrum
  • pulse-width modulation
  • remotely operated underwater vehicle
  • voltage convertional ratio
  • voltage source inverter

ASJC Scopus subject areas

  • Modelling and Simulation
  • Industrial and Manufacturing Engineering
  • Control and Optimization

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