DocumentCode :
3322483
Title :
Adaptive proportional-integral speed controller for direct torque control of induction motor using neural networks
Author :
Wang, Shun-Yuan ; Tseng, Chwan-Lu ; Chang, Chaur-Yang ; Yeh, Chih-Chun ; Chou, Jen-Hsiang
Author_Institution :
Dept. of Electr. Eng., Nat. Taipei Univ. of Technol., Taipei, Taiwan
Volume :
2
fYear :
2010
fDate :
5-7 May 2010
Firstpage :
145
Lastpage :
147
Abstract :
The design and implementation of an adaptive neural network based proportional-integral controller (NNPIC) were carried out on the direct torque control (DTC) system. The proposed controller consists of neural network and projection algorithm, in order to tune its parameters adaptively online under environmental variations. The experimental results proved that the performance of the proposed controller was quite better than the conventional PI controller by the criterion, root-mean-square-error (RMSE).
Keywords :
PI control; adaptive control; induction motors; machine control; mean square error methods; neural nets; torque control; velocity control; DTC; NNPIC; PI controller; RMSE; adaptive proportional integral speed controller; direct torque control; induction motor; neural network based proportional integral controller; projection algorithm; root-mean-square-error; Adaptive control; Adaptive systems; Induction motors; Neural networks; Pi control; Programmable control; Projection algorithms; Proportional control; Root mean square; Torque control; direct torque control; neural network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Communication Control and Automation (3CA), 2010 International Symposium on
Conference_Location :
Tainan
Print_ISBN :
978-1-4244-5565-2
Type :
conf
DOI :
10.1109/3CA.2010.5533631
Filename :
5533631
Link To Document :
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