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.
The present invention was made under government Grant No. DE-FG07-98ID13641, awarded by the Department of Energy. The United States Government has a paid-up license in the present invention and the right, in limited circumstances, to require the patent owner to license others on reasonable terms as provided for under the terms of Grant No. DE-FG07-98ID13641.