By Topic

Two-axis motion control system using wavelet neural network for ultrasonic motor drives

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 $33
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)
F. J. Lin ; Dept. of Electr. Eng., Nat. Dong Hwa Univ., Hualien, Taiwan ; R. J. Wai ; P. K. Huang

A wavelet neural network (WNN) based two-axis motion control system using ultrasonic motor (USM) drives is proposed. First, a driving circuit for the USM, which is composed of a push-pull DC-DC power converter using PWM direct duty-cycle control and a current-source two-phase parallel-resonant capacitor-parallel load inverter, is introduced briefly. Moreover, since the dynamic characteristics of the proposed two-axis motion control system are complicated, an online trained WNN control scheme with varied learning rates is proposed to control the position of the two-axis moving table with high-performance features. In addition, a reference-word circular interpolator technique, which can permit the simultaneous operation of two-axis motion, is described. The effectiveness of the proposed motion control strategy is demonstrated by some experimental results.

Published in:

IEE Proceedings - Electric Power Applications  (Volume:151 ,  Issue: 5 )