By Topic

Model reference linear adaptive control of DC motor using fuzzy controller

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)
Suresh kumar, A. ; Dept. of EEE, P. Indra Reddy Memorial Eng. Coll., Chevella ; Subba Rao, M. ; Babu, Y.S.K.

This paper deals with the conventional model reference adaptive control (MRAC) and replaces conventional control technique such as PI control with model reference adaptive control scheme with fuzzy linear adaptation. The Model Reference Adaptive Control (MRAC) speed control systems do not achieve consistent satisfactory performance over wide range of speed demand, especially at low speed and there is no defined rule to guide designers to choose the adaptation gains. The fuzzy logic model reference adaptive control maintains satisfactory response irrespective of the magnitude of the inputs. It enhances the performance of the DC drive compared to conventional MRAC. The performance of the drive system, thus obtained, is forming a set of test conditions with model reference fuzzy adaptive control. The performance of the drive is tested for load disturbances along with reference model. This work also compares the performance of Model Reference Fuzzy Adaptive scheme over conventional MRAC. This work is carried out by using MATLAB-SIMULINK.

Published in:

TENCON 2008 - 2008 IEEE Region 10 Conference

Date of Conference:

19-21 Nov. 2008