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Method and system for determining induction motor speed

Patent ·
OSTI ID:1174794
;
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.
Research Organization:
Texas A And M University, College Station, TX (United States)
Sponsoring Organization:
USDOE
DOE Contract Number:
FG07-98ID13641
Assignee:
Texas A And M University (College Station, TX)
Patent Number(s):
6,713,978
Application Number:
10/197,881
OSTI ID:
1174794
Country of Publication:
United States
Language:
English

References (10)

Adaptive speed identification for vector control of induction motors without rotational transducers journal January 1992
Effects of time-varying loads on rotor fault detection in induction machines journal January 1995
Design, DSP implementation, and performance of artificial-intelligence-based speed estimators for electromechanical drives journal March 1998
Recent developments of induction motor drives fault diagnosis using AI techniques journal January 2000
Performance of FFT-rotor slot harmonic speed detector for sensorless induction motor drives journal January 1996
Induction motors' faults detection and localization using stator current advanced signal processing techniques journal January 1999
Sensorless speed measurement using current harmonic spectral estimation in induction machine drives journal January 1996
An adaptive statistical time-frequency method for detection of broken bars and bearing faults in motors using stator current journal January 1999
A speed identifier for induction motor drives using real-time adaptive digital filtering journal January 1998
Rotor-speed estimator for induction motors using voltage and current measurements journal March 1998

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