Title :
Identification of asynchronous machine parameters by a recursive least-squares method
Author :
Guesbaoui, H. ; Touhami, O. ; Iung, C.
Author_Institution :
Centre de Recherche en Autom. de Nancy, CNRS, Vandoeuvre-les-Nancy, France
Abstract :
In this paper, an identification of asynchronous machine parameters by a recursive least-squares method with forgetting factor is presented. The authors perform an identification procedure based on stator voltage and current measurements. The authors use band-pass filters to stabilize the identification algorithm. For different time sampling, they have obtained the parameters of a 1.5 kW/4.4 A/380 V asynchronous machine. The obtained performances show that this procedure can be used for an on-line identification in the indirect vector control of the asynchronous machine
Keywords :
asynchronous machines; electric current measurement; least squares approximations; machine control; recursive estimation; voltage measurement; asynchronous machine; band-pass filters; forgetting factor; indirect vector control; online identification; recursive least-squares method; stator current; stator voltage; Asynchronous rotating machines; Current measurement; Least squares methods; Recursive estimation; Voltage measurement;
Conference_Titel :
Control Applications, 1994., Proceedings of the Third IEEE Conference on
Conference_Location :
Glasgow
Print_ISBN :
0-7803-1872-2
DOI :
10.1109/CCA.1994.381382
