NDLI: Determination of induction motor parameters with differential evolution algorithm

Content Provider	Springer Nature Link
Author	Arslan, Mustafa Çunkaş, Mehmet Sağ, Tahir
Copyright Year	2011
Abstract	In this study, the determination of equivalent circuit parameters of induction motors is carried out with differential evolution algorithm (DEA) and genetic algorithm (GA). As an objective function in the algorithms, the sum torque error at zero speed, pull-out, and rated speed is used. The determination of equivalent circuit parameters is performed with three induction motors of 2.2, 5.5, and 37 kW. In particular, the search ability of DEA is compared with GA by using the same population size, number of iteration, and crossover rate. In addition, the effects of the obtained equivalent circuit parameters on induction motors characteristics are investigated and presented with graphics. The results show that the use of DEA instead of GA increases the convergence sensitivity and reduces the simulation time.
Starting Page	1995
Ending Page	2004
Page Count	10
File Format	PDF
ISSN	09410643
Journal	Neural Computing and Applications
Volume Number	21
Issue Number	8
e-ISSN	14333058
Language	English
Publisher	Springer-Verlag
Publisher Date	2011-05-03
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Inductions motor Parameter determination Differential evolution algorithm Genetic algorithm Computational Biology/Bioinformatics Computational Science and Engineering Image Processing and Computer Vision Artificial Intelligence (incl. Robotics) Data Mining and Knowledge Discovery Probability and Statistics in Computer Science
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Software

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