Cart (Loading....) | Create Account
Close category search window
 

An ANN based identification and control approach for field-oriented induction motor

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $31
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Hong-Tzer Yang ; Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan ; Kuen-Yen Huang ; Ching-Lien Huang

A high-performance speed control approach using artificial neural networks (ANNs) for the field-oriented induction motor is proposed. By using the proposed approach, speed of an induction motor can be controlled to follow an arbitrarily selected speed trajectory. Especially, an accurate track of the speed can still be obtained, when uncertainties of the motor and its load exist. The uncertainties include the unknown load on the motor and the variation of the motor rotor resistance due to temperature rise. To evaluate the performance of the proposed control system, the system has been simulated by using detailed models of the field-oriented induction motor, the current hysteresis controlled VSI (voltage source inverter) and the ANNs. The scenarios simulated on a typical induction motor are composed of unknown nonlinear load, different trajectories of speed and patterns of rotor resistance variation. Simulated results of the proposed system are compared to those of the traditional PI (proportional plus integral) controller. Preliminary results show that the proposed control system can achieve superior performances on speed trajectory tracking as well as adaptability to parameter variations of rotor resistance

Published in:

Advances in Power System Control, Operation and Management, 1993. APSCOM-93., 2nd International Conference on

Date of Conference:

7-10 Dec 1993

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.