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Research and simulation on PID control method for brushless DC Motor based on genetic algorithm and BP neural network

  • Xiu Juan Ma*
  • , Yi Liu
  • , Ling Li
  • *Corresponding author for this work

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

Abstract

This article use the Brushless DC Motor as the plant, to compare the genetic algorithm back propagation neural network PID controller with the traditional PID controller. It proves that adopting genetic algorithm optimization back propagation neural network PID controller to determine the PID parameters has made the kinetic characteristic and the robustness of the system much better.

Original languageEnglish
Title of host publication2008 IEEE Vehicle Power and Propulsion Conference, VPPC 2008
DOIs
StatePublished - 2008
Externally publishedYes
Event2008 IEEE Vehicle Power and Propulsion Conference, VPPC 2008 - Harbin, China
Duration: 3 Sep 20085 Sep 2008

Publication series

Name2008 IEEE Vehicle Power and Propulsion Conference, VPPC 2008

Conference

Conference2008 IEEE Vehicle Power and Propulsion Conference, VPPC 2008
Country/TerritoryChina
CityHarbin
Period3/09/085/09/08

Keywords

  • Brushless DC Motor
  • Electric vehicle
  • Genetic algorithm
  • Neural network
  • PID

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