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
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;
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
DOI :
10.1109/CCDC.2009.5195072