Title :
Parameter determination for induction motors
Author :
Haque, T. ; Nolan, R., II ; Pillay, P. ; Reynaud, J.
Author_Institution :
Dept. of Electr. Eng., New Orleans Univ., LA, USA
Abstract :
It is often necessary to determine the electrical parameters of hundreds of different motors in an industrial plant for system studies. Electrical parameters can be obtained by actually testing each of the motors, which is undoubtedly a tedious and time consuming task, if not impossible, due to the requirement of continuous operation of motors in the process industry, for example. The determination of the electrical parameters of motors can be accomplished more economically with the help of a new optimization technique called genetic algorithms. This method is widely accepted for its simplicity, ability to converge with minimal input from the user with a short computational time
Keywords :
digital simulation; electric machine analysis computing; genetic algorithms; induction motors; machine theory; parameter estimation; rotors; stators; computation time; convergence; electrical parameters; genetic algorithms; induction motors; optimization; parameter determination; windings; Data mining; Genetic algorithms; Induction motors; Industrial plants; Lakes; Power generation economics; Power system economics; Power system modeling; Testing; Torque;
Conference_Titel :
Southeastcon '94. Creative Technology Transfer - A Global Affair., Proceedings of the 1994 IEEE
Conference_Location :
Miami, FL
Print_ISBN :
0-7803-1797-1
DOI :
10.1109/SECON.1994.324262