By Topic

Error-based global optimization approach for electric motor design

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)
Idir, K. ; Dept. of Electr. Eng., New Brunswick Univ., Fredericton, NB, Canada ; Liuchen Chang ; Heping Dai

This paper proposes a new global optimization approach for electric machine design problems. The algorithm uses an error function between the actual objective function, at a given computational step, and its limit value to search for the global minimum. The error function provides a good indication of how far or close the objective function approaches its ultimate solution. This method is considered to be self adaptive in a sense that the higher the error is, the larger the step size of the variables will be. This feature helps the search to escape local solutions and to reach eventually the global solution. The proposed method was tested on various typical multimodal functions and particularly applied to induction motor design optimization problems. This algorithm is very simple and easy to be implemented, yet powerful and effective as indicated by the test results

Published in:

Magnetics, IEEE Transactions on  (Volume:34 ,  Issue: 5 )