By Topic

A genetic based fuzzy logic controller for direct torque controlled IPMSM drives over wide speed range

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)
Malekian, K. ; Center of Excellence in Power Syst., Amirkabir Univ. of Technol. (Tehran Polytech.), Tehran ; Milimonfared, J. ; Abdi, B.

The main theme of this paper is to present a novel controller, which is a genetic based fuzzy Logic controller, for interior permanent magnet synchronous motor drives with direct torque control. A radial basis function network is used for online tuning of the genetic based fuzzy logic controller. Initially different operating conditions are obtained based on motor dynamics incorporating uncertainties. At each operating condition, a genetic algorithm is used to optimize fuzzy logic parameters in closed-loop direct torque control scheme. In other words, the genetic algorithm IInils optimum input and output scaling factors and optimum number of membership functions. This optimization procedure is utilized to obtain the minimum speed deviation, minimum settling time, and zero steady-state error. The control scheme has been verified by simulation tests with a prototype interior permanent magnet synchronous motor.

Published in:

Advanced Motion Control, 2008. AMC '08. 10th IEEE International Workshop on

Date of Conference:

26-28 March 2008