By Topic

Adaptive speed control for induction motor drives using neural networks

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 $13
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)
Kung, Y.S. ; Dept. of Power Mech. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan ; Ouyang, M. ; Liaw, C.M.

In this paper, the adaptive speed control of induction motor drives using neural networks is presented. To obtain good performances both in tracking and regulating characteristics, a digital two-degree-of-freedom (2DOF) controller and its quantitative design procedure are proposed. The parameters of the controller corresponding to various drive parameter sets are found off-line and stored as the training patterns. Under normal operation, the true drive parameters are real-time identified and they are converted into the controller parameters through multilayer forward computation by neural networks. In which, the connection weights of the multilayer feedforward network are estimated by backpropagation learning algorithm

Published in:

Industrial Electronics, Control, and Instrumentation, 1993. Proceedings of the IECON '93., International Conference on

Date of Conference:

15-19 Nov 1993