Precise control of high-Speed BLDCM based on BP neural network

Ying He*, Bo Mo, Yang Hua Li

*Corresponding author for this work

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

Abstract

Brushless DC Motor (BLDCM) is a strongly nonlinear systems, which means that we can't get a satisfactory result by the traditional PID Controller. This paper presents an improved BP Neural Network algorithm with adaptive adjustment of learning rate and range adjustment of the output. At last, using MatLab/Simulink to verify the algorithm that it has better control precision and adaptability.

Original languageEnglish
Title of host publicationAutomatic Control and Mechatronic Engineering III
PublisherTrans Tech Publications Ltd.
Pages365-369
Number of pages5
ISBN (Print)9783038351993
DOIs
Publication statusPublished - 2014
Event3rd International Conference on Automatic Control and Mechatronic Engineering, ICACME 2014 - Xiamen, China
Duration: 13 Jun 201414 Jun 2014

Publication series

NameApplied Mechanics and Materials
Volume615
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference3rd International Conference on Automatic Control and Mechatronic Engineering, ICACME 2014
Country/TerritoryChina
CityXiamen
Period13/06/1414/06/14

Keywords

  • BP neural network
  • Brushless DC motor
  • PID
  • Precise control

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