Title :
Estimation of induction motor parameters by a genetic algorithm
Author :
Weatherford, Harry H. ; Brice, Charles W.
Author_Institution :
Georgetown Steel Co., SC, USA
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;
Conference_Titel :
Pulp and Paper Industry Technical Conference, 2003. Conference Record of the 2003 Annual
Conference_Location :
Charleston, SC, USA
Print_ISBN :
0-7803-7931-4
DOI :
10.1109/PAPCON.2003.1216896
