Title :
Estimation of induction motor efficiency in-situ under unbalanced voltages using genetic algorithms
Author :
Gómez, Julio R. ; Quispe, Enrique C. ; De Armas, Marcos A. ; Viego, Percy R.
Author_Institution :
Center of Energy & Environ. Studies CEEMA, Univ. of Cienfuegos
Abstract :
An effective technique for estimating parameters, losses, shaft power and efficiency of three-phase induction motors in field conditions, is proposed in this paper. It is focused on the determination of the operating efficiency of motors under unbalanced voltages or deviated voltage and frequency without caring out special tests, removing the motors, or measuring the output power or torque. Only few sets of data: voltage, current, power and speed or slip, measured in the motor in-situ, are utilized. With these data, genetic algorithms techniques, applying the method of symmetrical components of voltage and considering parameters variations (especially in the rotor) related to the effect of negative sequence voltage system, are developed. Once the parameters are known, it is possible to obtain the estimated efficiency. The experimental results indicate that this technique has a high accuracy.
Keywords :
genetic algorithms; induction motors; genetic algorithm; negative sequence voltage system; parameter estimation; three-phase induction motor; unbalanced voltage condition; Frequency measurement; Genetic algorithms; Induction motors; Parameter estimation; Power generation; Power measurement; Shafts; Testing; Torque measurement; Voltage;
Conference_Titel :
Electrical Machines, 2008. ICEM 2008. 18th International Conference on
Conference_Location :
Vilamoura
Print_ISBN :
978-1-4244-1735-3
Electronic_ISBN :
978-1-4244-1736-0
DOI :
10.1109/ICELMACH.2008.4799965