DocumentCode :
2117026
Title :
The use of the genetic algorithm for in-situ efficiency measurement of an induction motor
Author :
Charette, A. ; Xu, J. ; Ba-Razzouk, A. ; Pillay, P. ; Rajagopalan, V.
Author_Institution :
Hydro-Quebec, Que., Canada
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
392
Abstract :
In-situ efficiency determination of working motors in an industrial plant, if done nonintrusively, is less expensive than laboratory tests, which need disconnection of the motors from the loads. This paper presents a new approach to nonintrusive in-situ efficiency determination of an induction motor. By monitoring the input voltages, the input currents, the input power and the motor speed, an equivalent circuit based optimization process using the genetic algorithm calculates the motor efficiency. The convergence and the precision have been improved by taking into account several load points in the objective function, as well as the temperature dependency of the stator and rotor resistances. A sensitivity analysis of the method to parameter changes is also presented. Experimental results confirm. The validity of this method
Keywords :
electric current measurement; electric resistance; equivalent circuits; genetic algorithms; induction motors; machine theory; power measurement; rotors; sensitivity analysis; stators; voltage measurement; convergence; equivalent circuit; genetic algorithm; in-situ efficiency measurement; induction motor; industrial plant; input currents monitoring; input power monitoring; input voltages monitoring; motor efficiency; motor speed monitoring; motors disconnection; nonintrusive in-situ efficiency determination; optimization process; rotor resistance; sensitivity analysis; stator resistance; temperature dependency; Circuit testing; Convergence; Equivalent circuits; Genetic algorithms; Induction motors; Industrial plants; Laboratories; Monitoring; Temperature dependence; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering Society Winter Meeting, 2000. IEEE
Print_ISBN :
0-7803-5935-6
Type :
conf
DOI :
10.1109/PESW.2000.849996
Filename :
849996
Link To Document :
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