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Title

Modelling the neural speed regulation system of PMSM motor in Matlab - Simulink

Authors

[ 1 ] Instytut Automatyki i Inżynierii Informatycznej, Wydział Elektryczny, Politechnika Poznańska | [ P ] employee

Year of publication

2016

Published in

Poznan University of Technology Academic Journals. Electrical Engineering

Journal year: 2016 | Journal number: Issue 85

Article type

scientific article

Publication language

english

Keywords
EN
  • artificial neural networks
  • speed control
  • PMSM
  • motor drive model
  • direct-quadrature
  • speed measurement
  • backpropagation algorithm
Abstract

EN To implement speed regulation algorithms of PMSM motor on real object the exact model encompassing imperfections of digital measurement and AC-DC-AC converter is required. The aim of the following paper is to present this kind of simulation model of the neural speed regulation system of PMSM motor in Matlab – Simulink. In the beginning the direct-quadrature transform and mathematical model of permanent magnet synchronous motor in dq coordinate system are shown. The paper shows speed measurement algorithm which ensure digital character of the output data. In the second section the neural speed controller trained on-line by backpropagation algorithm and the method for calculating gradient of error function are described. At the end of the paper simulation results validating proper behaviour of neural speed regulation system of PMSM motor are shown.

Pages (from - to)

365 - 376

Presented on

Computer Applications in Electrical Engineering 2016, 18-19.04.2016, Poznan, Poland

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public

Ministry points / journal

9

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