Simulation of three-motor synchronous control system based on BP neural network

Liang Zhao*, Xingqiao Liu, Chong Chen, Guohai Liu, Li Cheng

*Corresponding author for this work

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

3 Citations (Scopus)

Abstract

Multi-motor synchronous system is being widely applied in industrial field, in order to ulteriorly improve synchronous performance of multi-motor system, this paper presents a synchronous control system for three-motor which includes three intelligent PID controllers based on BP neural network arithmetic which adjusts the parameters of PID controllers on-line, and neuron decoupling compensator fulfilling open loop decoupling control of multi-variable to reduce mutual effect. The results of simulation indicates that the control system can get the optimal parameters of the PID controllers according to different running state of system, and has better performances of dynamic and static status comparing to traditional PID, and realizes better decoupling control of speed and tension in the system.

Original languageEnglish
Title of host publication2008 Asia Simulation Conference - 7th International Conference on System Simulation and Scientific Computing, ICSC 2008
Pages1358-1363
Number of pages6
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event2008 Asia Simulation Conference - 7th International Conference on System Simulation and Scientific Computing, ICSC 2008 - Beijing, China
Duration: 10 Oct 200812 Oct 2008

Publication series

Name2008 Asia Simulation Conference - 7th International Conference on System Simulation and Scientific Computing, ICSC 2008

Conference

Conference2008 Asia Simulation Conference - 7th International Conference on System Simulation and Scientific Computing, ICSC 2008
Country/TerritoryChina
CityBeijing
Period10/10/0812/10/08

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