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:
- Issue Date:
- Research Org.:
- Texas A And M University, College Station, TX (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1174794
- Patent Number(s):
- 6713978
- Application Number:
- 10/197,881
- Assignee:
- Texas A And M University (College Station, TX)
- Patent Classifications (CPCs):
-
H - ELECTRICITY H02 - GENERATION H02P - CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORS OR DYNAMO-ELECTRIC CONVERTERS
- 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}
}
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