Method and system for determining induction motor speed
AssigneeThe Texas A&M University System
InventorsAlexander G. Parlos, Raj M. Bharadwaj
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AssigneeThe Texas A&M University System
InventorsAlexander G. Parlos, Raj M. Bharadwaj
Estimating the term…
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.
A method for determining the speed of a rotating rotor within a motor, said method comprising:
A computer program product residing on a computer usable medium for determining the speed of a rotating rotor within a motor, said computer program product comprising:
A computer system for determining the speed of a rotating rotor within a motor, said computer system comprising:
Dependencies are inferred from the claim text.