DocumentCode :
3137014
Title :
BP neural network based PID controller for AC servo drive system
Author :
Yang, Youlin ; Wu, Qinghui ; Ding, Shuo
Author_Institution :
Coll. of Eng., Bohai Univ., Jinzhou, China
Volume :
2
fYear :
2011
fDate :
25-28 July 2011
Firstpage :
1079
Lastpage :
1081
Abstract :
An adaptive PID control system using BP networks is presented, which is based on vector control for an induction servo drive motor characterized by non-linear, multivariable, strong coupling, slow time-varying properties, etc., and many uncertainties such as mechanical parametric variation and external disturbance. Simulation results demonstrate the effectiveness of the proposed method.
Keywords :
AC motor drives; adaptive control; backpropagation; machine vector control; neurocontrollers; servomotors; three-term control; AC servo drive system; BP neural network; adaptive PID control system; backpropagation; induction servo drive motor; vector control; Induction motors; Machine vector control; Mathematical model; Rotors; Servomotors; Torque;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2011 2nd International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-0813-8
Type :
conf
DOI :
10.1109/ICICIP.2011.6008418
Filename :
6008418
Link To Document :
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