By Topic

Speed Control of DC Motor Using Imperialist Competitive Algorithm Based on PI-Like FLC

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

2 Author(s)
Ghalehpardaz, S.L. ; Electr. Eng. Dept., Azad Univ., Qazvin, Iran ; Shafiee, M.

This paper presents a method for optimizing PI like Fuzzy Logic Controller (FLC) using Imperialist Competitive Algorithm (ICA) and Genetic Algorithm (GA) in order to control the speed of DC motor. So as to achieve a better control performance, the ICA and GA optimize the parameters of FLC, which are Membership Functions (MFs) and gain factors. The number of rule in the designed Pi-like FLC is low and consequently requires less computation. This makes the FLC more suitable for real-time implementation, particularly at high-speed operating conditions. Simulation results show that optimizing the Pi-like FLC through ICA is the best performance compared to Pi-like FLC and GA optimized Pi-like FLC.

Published in:

Computational Intelligence, Modelling and Simulation (CIMSiM), 2011 Third International Conference on

Date of Conference:

20-22 Sept. 2011