Genetic Algorithm Based Design Optimization Of A Permanent Magnet Brushless DC Motor

Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/1457

Full metadata record

DC Field	Value	Language
dc.contributor.author	Upadhyay, P. R.	-
dc.contributor.author	Rajagopal, K. R.	-
dc.date.accessioned	2009-12-22T05:26:15Z	-
dc.date.available	2009-12-22T05:26:15Z	-
dc.date.issued	2005	-
dc.identifier.uri	http://hdl.handle.net/123456789/1457	-
dc.description	Journal of Applied Physics, 97 (2005)	en
dc.description.abstract	Genetic algorithm (GA) based design optimization of a permanent magnet brushless dc motor is presented in this paper. A 70 W, 350 rpm, ceiling fan motor with radial-field configuration is designed by considering the efficiency as the objective function. Temperature-rise and motor weight are the constraints and the slot electric loading, magnet-fraction, slot-fraction, airgap, and airgap flux density are the design variables. The efficiency and the phase-inductance of the motor designed using the developed CAD program are improved by using the GA based Optimization technique; from 84.75% and 5.55 mH to 86.06% and 204 mH, respectively.	en
dc.language.iso	en_US	en
dc.publisher	American Institute of Physics	en
dc.subject	Electrical Faculty Paper	en
dc.subject	Faculty Paper	en
dc.subject	ITFEE002	en
dc.title	Genetic Algorithm Based Design Optimization Of A Permanent Magnet Brushless DC Motor	en
dc.type	Faculty Papers	en
Appears in Collections:	Faculty Papers, EE

Files in This Item:

File	Description	Size	Format
ITFEE002-2.pdf	ITFEE002-2	321.93 kB	Adobe PDF	View/Open

IR @ Nirma University