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Title: Method and system for determining induction motor speed

Abstract

A non-linear, semi-parametric neural network-based adaptive filter is utilized to determine the dynamic speed of a rotating rotor within an induction motor, without the explicit use of a speed sensor, such as a tachometer, is disclosed. The neural network-based filter is developed using actual motor current measurements, voltage measurements, and nameplate information. The neural network-based adaptive filter is trained using an estimated speed calculator derived from the actual current and voltage measurements. The neural network-based adaptive filter uses voltage and current measurements to determine the instantaneous speed of a rotating rotor. The neural network-based adaptive filter also includes an on-line adaptation scheme that permits the filter to be readily adapted for new operating conditions during operations.

Inventors:
;
Publication Date:
Research Org.:
Texas A And M University, College Station, TX (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1174794
Patent Number(s):
6,713,978
Application Number:
10/197,881
Assignee:
Texas A And M University (College Station, TX)
DOE Contract Number:  
FG07-98ID13641
Resource Type:
Patent
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING

Citation Formats

Parlos, Alexander G., and Bharadwaj, Raj M. Method and system for determining induction motor speed. United States: N. p., 2004. Web.
Parlos, Alexander G., & Bharadwaj, Raj M. Method and system for determining induction motor speed. United States.
Parlos, Alexander G., and Bharadwaj, Raj M. Tue . "Method and system for determining induction motor speed". United States. https://www.osti.gov/servlets/purl/1174794.
@article{osti_1174794,
title = {Method and system for determining induction motor speed},
author = {Parlos, Alexander G. and Bharadwaj, Raj M.},
abstractNote = {A non-linear, semi-parametric neural network-based adaptive filter is utilized to determine the dynamic speed of a rotating rotor within an induction motor, without the explicit use of a speed sensor, such as a tachometer, is disclosed. The neural network-based filter is developed using actual motor current measurements, voltage measurements, and nameplate information. The neural network-based adaptive filter is trained using an estimated speed calculator derived from the actual current and voltage measurements. The neural network-based adaptive filter uses voltage and current measurements to determine the instantaneous speed of a rotating rotor. The neural network-based adaptive filter also includes an on-line adaptation scheme that permits the filter to be readily adapted for new operating conditions during operations.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2004},
month = {3}
}

Patent:

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