Multi-motor synchronous system based on neural network control

  • Chen Cong*
  • , Liu Xingqiao
  • , Liu Guohai
  • , Zhao Liang
  • , Chen Li
  • , Zhao Buhui
  • *Corresponding author for this work

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

4 Citations (Scopus)

Abstract

On the basis of mathematic model analysis of multi-motor synchronous system, intelligent decoupling technology of multi-variable system is introduced to design neural network controller that is composed of self-turning PID controller based on diagonal recurrent neural network and adaptive neuron decoupling compensator, which make use of serial open loop decoupling strategy of adaptive neuron decoupling compensator located after self-turning PID controller. The results of experiment prove that the control system has stronger robustness, higher dynamic and static status and following performances than traditional PID, realizing better decoupling control of speed and tension of the system. The control system has good application prospects.

Original languageEnglish
Title of host publicationProceedings of the 11th International Conference on Electrical Machines and Systems, ICEMS 2008
Pages1231-1236
Number of pages6
Publication statusPublished - 2008
Externally publishedYes
Event11th International Conference on Electrical Machines and Systems, ICEMS 2008 - Wuhan, China
Duration: 17 Oct 200820 Oct 2008

Publication series

NameProceedings of the 11th International Conference on Electrical Machines and Systems, ICEMS 2008

Conference

Conference11th International Conference on Electrical Machines and Systems, ICEMS 2008
Country/TerritoryChina
CityWuhan
Period17/10/0820/10/08

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