Title :
Identification of the Induction Motor in Sinusoidal Mode
Author :
Laroche, Edouard ; Boutayeb, Mohamed
Author_Institution :
Lab. des Sci. de l´´Image de l´´nformatique et de la Teledetection (LSIIT), Strasbourg Univ., Illkirch, France
fDate :
3/1/2010 12:00:00 AM
Abstract :
This paper presents an original method for estimation of the induction motor parameters, including iron loss, with measurements in the sinusoidal steady-state mode. Based on a change of parameter yielding a model that is linear with respect to the new set of parameters, this method allows parameter estimation with low computation cost and without being concerned by local minima problems. This method is evaluated and compared with two other methods from the literature, which are also based on sinusoidal steady-state measurements: a standard method based on two elementary tests and a method where parameters are estimated through minimization of a nonconvex distance criterion with a nonlinear programming algorithm. For the considered methods, sensitivities to measurement and modeling errors are evaluated, emphasizing the performances of the original method. Experimental results, obtained on a setup of 1.5 kW rated power, are provided.
Keywords :
induction motors; nonlinear programming; parameter estimation; elementary tests; induction motor identification; iron loss; local minima problems; nonconvex distance criterion; nonlinear programming algorithm; parameter estimation; power 1.5 kW; sinusoidal steady-state measurements; sinusoidal steady-state mode; Estimation error; identification; induction motor; parameter estimation; robustness;
Journal_Title :
Energy Conversion, IEEE Transactions on
DOI :
10.1109/TEC.2009.2035512