By Topic

Robust Neural Network Controller Design for Traveling-Wave Type Ultrasonic 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
$33 $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

2 Author(s)
Chih-Hsien Yu ; Engineering Science Department, Cheng Kung University, R.O.C, fax: +886-6-2766549; e-mail: n9892102@ccmail.ncku.edu.tw ; Tien-Chi Chen

The control and identification of a traveling-wave ultrasonic motor (TWUSM) using a neural network control scheme is described in this paper. A recurrent neural network (RNN) control scheme that uses continual online training to simultaneously identify and control the TWUSM is proposed. The control scheme utilizes two three-layer RNNs: one is a recurrent neural network identifier which captures the nonlinear dynamics of the plant system and the other is a recurrent neural network controller to provide the necessary control actions to achieve desired reference trajectory. Some experimental results reveal that the proposed control structure adapts and generalizes its learning to a wide range of operating conditions and provides promising results under system uncertainties and load changes.

Published in:

2006 IEEE International Conference on Systems, Man and Cybernetics  (Volume:3 )

Date of Conference:

8-11 Oct. 2006