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http://10.1.7.192:80/jspui/handle/123456789/1457
Title: | Genetic Algorithm Based Design Optimization Of A Permanent Magnet Brushless DC Motor |
Authors: | Upadhyay, P. R. Rajagopal, K. R. |
Keywords: | Electrical Faculty Paper Faculty Paper ITFEE002 |
Issue Date: | 2005 |
Publisher: | American Institute of Physics |
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. |
Description: | Journal of Applied Physics, 97 (2005) |
URI: | http://hdl.handle.net/123456789/1457 |
Appears in Collections: | Faculty Papers, EE |
Files in This Item:
File | Description | Size | Format | |
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ITFEE002-2.pdf | ITFEE002-2 | 321.93 kB | Adobe PDF | ![]() View/Open |
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