NDLI: Transfer function and parameters identification of a motor drive system using adaptive filtering

Content Provider	IEEE Xplore Digital Library
Author	Dhaouadi, R. Kubo, K.
Copyright Year	1996
Description	Author affiliation: Ecole Polytech. de Tunisie, La Marsa, Tunisia (Dhaouadi, R.)
Abstract	A technique is developed for the identification of mechanical parameters in two-mass-model drive systems, The transfer function of the system model is calculated directly from the input-output signals. This technique involves repeated integration of the data and uses the recursive least squares method. It is shown that when the system is subject to random noises and disturbances, the ordinary least squares method is asymptotically biased, and so an iterative scheme is proposed to remove this bias and to improve the estimation efficiency. Simulation analysis is made using the data of an actual rolling mill plant. The accuracy of the estimated mechanical parameters and the effect of measurement and disturbance noise are analyzed. The developed algorithm exhibits outstanding numerical characteristics and has proven to be very effective for the mechanical parameters identification.
Starting Page	588
Ending Page	593
File Size	517623
Page Count	6
File Format	PDF
ISBN	0780332199
DOI	10.1109/AMC.1996.509314
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-03-18
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Transfer functions Parameter estimation Motor drives Least squares methods Signal processing Iterative methods Analytical models Milling machines Mechanical variables measurement Noise measurement
Content Type	Text
Resource Type	Article

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