DocumentCode :
3375168
Title :
Implementation of an identification algorithm using a cross-correlation method in order to identify the induction motor rotor time constant
Author :
Aleman-Nieto, AlbertO E. ; Raoof, Kosai
Author_Institution :
Div. de Estudios de Postgrado e Investigacion, Inst. Tecnologico de Nuevo Leon, Mexico
Volume :
2
fYear :
1997
fDate :
3-6 Aug 1997
Firstpage :
827
Abstract :
A cross-correlation algorithm is used to identify the induction motor rotor time constant. This algorithm generates a pseudorandom binary sequences and makes a cross-correlation calculus on-line. The binary sequence generation period is adjusted to have the desired frequency. This algorithm identifies a sudden rotor time constant variations leading to some sort of real time adaptive control system. The identification algorithm is programmed in a fixed point digital signal processing card (ADSP-2105)
Keywords :
adaptive control; binary sequences; correlation methods; identification; induction motor drives; machine control; power engineering computing; real-time systems; rotors; signal processing; ADSP-2105; cross-correlation method; digital signal processing card; field oriented control; fixed point DSP card; identification algorithm; induction motor rotor time constant; pseudorandom binary sequences; real time adaptive control system; rotor time constant variations; Adaptive control; Binary sequences; Calculus; Digital signal processing; Frequency; Induction generators; Induction motors; Real time systems; Rotors; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1997. Proceedings of the 40th Midwest Symposium on
Conference_Location :
Sacramento, CA
Print_ISBN :
0-7803-3694-1
Type :
conf
DOI :
10.1109/MWSCAS.1997.662202
Filename :
662202
Link To Document :
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