DocumentCode
1725220
Title
Estimation of induction motor parameters by a genetic algorithm
Author
Weatherford, Harry H. ; Brice, Charles W.
Author_Institution
Georgetown Steel Co., SC, USA
fYear
2003
Firstpage
21
Lastpage
28
Abstract
Textbook equations are available to calculate the torque that AC motors can provide. Quite often, the procedures outlined in textbooks for the determination of motor parameters only apply to small AC motors that can be tested in a lab. This paper covers the application of genetic algorithms to use motor nameplate data along with rated values such as voltages, currents and torque data to determine unknown operating motor parameters for an AC induction motor. These parameters can be used with textbook equations to offer solutions to load requirements and capabilities.
Keywords
genetic algorithms; induction motors; machine theory; parameter estimation; circuit models; current data; deep-bar motor model; double-cage motor model; genetic algorithms; induction motor parameter estimation; motor nameplate data; polyphase induction motors; small AC motors; torque calculation; torque data; voltage data; AC motors; Equations; Frequency; Genetic algorithms; Induction motors; Power supplies; Rotors; Testing; Torque; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Pulp and Paper Industry Technical Conference, 2003. Conference Record of the 2003 Annual
Conference_Location
Charleston, SC, USA
ISSN
0190-2172
Print_ISBN
0-7803-7931-4
Type
conf
DOI
10.1109/PAPCON.2003.1216896
Filename
1216896
Link To Document