NDLI: Gray-Box Modeling of Electric Drives using Recursive Identification and Radial Basis Functions

Content Provider	IEEE Xplore Digital Library
Author	Aquino-Lugo, A. Velez-Reyes, M.
Copyright Year	2006
Description	Author affiliation: Center for Power Electron. Syst., Puerto Rico-Mayaguez Univ., PR (Aquino-Lugo, A.; Velez-Reyes, M.)
Abstract	Modeling of electric drives coupled to complex mechanical loads may be a challenging task. Universal drives should have the capability to tune the drive control system to drive different loads and maintain system performance without knowing the details of the load. Gray-box modeling using neural networks is presented as a possible solution for the identification of the mechanical loads and the drive system. In the proposed gray-box modeling, the drive system is divided into the known part governed by the physical laws, which in our case is the electrical subsystem, and an unknown part, which in our case is the mechanical subsystem. The electrical subsystem is modeled using physical laws while the mechanical part is modeled a black box model using radial basis neural network. A two-stage parameter estimation algorithm based on linear least squares for each stage is proposed. The tuning scheme is incorporated into the tuning of a feedback linearizing control scheme for a DC motor drive driving a static load. Simulation and experimental results are presented showing the potential of the approach
Starting Page	1447
Ending Page	1452
File Size	251759
Page Count	6
File Format	PDF
ISBN	1424403901
ISSN	1553572X
DOI	10.1109/IECON.2006.348111
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-11-06
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Couplings Control systems System performance Load modeling Parameter estimation Least squares approximation Neurofeedback Linear feedback control systems DC motors
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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