Title :
The position controller with DRNN compensator for PMLSM
Author :
Zhen-xiong, Zhou ; Jian-dong, Yang ; Yong-yin, Qu
Author_Institution :
Sch. of Electromech. Eng., Changchun Univ. of Technol., Changchun
Abstract :
A IP position control strategy based on DRNN compensator for PMLSM is proposed in this paper. After contrasting to IP position controller based on disturbance observer. A nonlinear compensator is designed by DRNN, which has relatively robustness on parameter variations and load disturbances on aid of interior feedback structure and dynamic mapping ability. Meanwhile, a mending RPE algorithm is proposed to shorten training time by improving the adjusting velocity of weights. The simulation indicate that this strategy can improve tracing precision and enhance the systempsilas robustness.
Keywords :
compensation; control system synthesis; machine control; neurocontrollers; nonlinear control systems; observers; permanent magnet motors; position control; prediction theory; recurrent neural nets; synchronous motors; IP position controller; disturbance observer; dynamic mapping ability; dynamical recurrent neural network compensator; interior feedback structure; load disturbances; nonlinear compensator design; permanent magnet linear synchronous motor; recursive prediction error algorithm; Algorithm design and analysis; Iron; Neurofeedback; Position control; Recurrent neural networks; Robust control; Robustness; Synchronous motors; Velocity control; Dynamical Recurrent Neural Network; Permanent Magnet Linear Synchronous Motor; Recursive Prediction Error(RPE);
Conference_Titel :
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-1733-9
Electronic_ISBN :
978-1-4244-1734-6
DOI :
10.1109/CCDC.2008.4597908
