DocumentCode
2841672
Title
Three-motor synchronous decoupling control based on BP neural network
Author
Liu, Xingqiao ; Zhang, Xiangmei ; Hu, Jianqun ; Yang Liu ; Liu, Guohai ; Zhao, Liang
Author_Institution
Sch. of Electr. & Inf. Eng., Jiangsu Univ., Zhenjiang, China
fYear
2009
fDate
17-19 June 2009
Firstpage
5365
Lastpage
5368
Abstract
A synchronous control system for three-motor is presented in this paper. The control system 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 of multi-variable. The results of experiment indicates that the control system can get some 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 the better decoupling control of speed and tension in the system.
Keywords
backpropagation; intelligent control; machine control; neurocontrollers; synchronous motors; velocity control; BP neural network; intelligent PID controllers; neuron decoupling compensator; open loop decoupling; speed control; tension control; three-motor synchronous decoupling control; Automatic control; Control systems; Micromotors; Neural networks; Neurons; Nonlinear control systems; Open loop systems; Optimal control; Synchronous motors; Three-term control; BP neural network; decoupling control; neuron decoupling; synchronous control system;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location
Guilin
Print_ISBN
978-1-4244-2722-2
Electronic_ISBN
978-1-4244-2723-9
Type
conf
DOI
10.1109/CCDC.2009.5195072
Filename
5195072
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