Experimental evaluation of adaptive fuzzy-PID control for piezoelectric motor drive system
by Mohammad A. Al-Khedher, Shebel A. AlSabbah
International Journal of Intelligent Systems Technologies and Applications (IJISTA), Vol. 10, No. 3, 2011

Abstract: The application of intelligent systems along with conventional control theories has been widely presented in the recent literature to understand and compensate for the non-linearity exhibited by complex systems. An adaptive fuzzy-PID controller is proposed to precisely control the speed of an ultrasonic piezoelectric motor (PEM) at various operating conditions. The implemented controller shows an enhanced performance over the classical controllers for both transient and steady-state responses. The system variables are determined based on self-tuned formulas that have an adaptive capability to handle non-linearity and parameter uncertainties in PEM at diverse working conditions. Practical and simulated results are provided to validate the performance of the proposed methodology.

Online publication date: Tue, 24-May-2011

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Intelligent Systems Technologies and Applications (IJISTA):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com