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