Method and system for determining induction motor speed
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
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