Nonlinear Piezo-Actuator Control by Learning Self-Tuning Regulator

[+] Author and Article Information
C. James Li

Department of Mechanical Engineering, Columbia University, New York, NY 10027

Homayoon S. M. Beigi

International Business Machines, T. J. Watson Research Center, Yorktown Heights, NY 10598

Shengyi Li, Jiancheng Liang

Department of Precision Machinery and Instruments, Changsha Institute of Technology, Changsha, Hunan, PRC

J. Dyn. Sys., Meas., Control 115(4), 720-723 (Dec 01, 1993) (4 pages) doi:10.1115/1.2899203 History: Received May 01, 1990; Revised December 01, 1992; Online March 17, 2008


This paper presents a learning self-tuning (LSTR) regulator which improves the tracking performance of itself while performing repetitive tasks. The controller is a self-tuning regulator based on learning parameter estimation. Experimentally, the controller was used to control the movement of a nonlinear piezoelectric actuator which is a part of the tool positioning system for a diamond turning lathe. Experimental results show that the controller is able to reduce the tracking error through the repetition of the task.

Copyright © 1993 by The American Society of Mechanical Engineers
Your Session has timed out. Please sign back in to continue.






Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In