A new sensorless dynamic speed-estimator for induction motor drives using predictive adaptive filtering

A new sensorless speed estimation technique for induction motor drives is described. The new estimator is based on predictive adaptive spectral estimation of rotor slot harmonics. The predictive filter parameters are updated with time using the fast recursive least squares algorithm. The proposed speed estimator was implemented on a transputer-based i860 vector processor, end tested on experimental data from 3 different motors at different speeds and load conditions. The dynamic performance of the estimator was also assessed using simulated data. A comparison between the proposed estimator and conventional estimator, based on the fast Fourier transform, was also provided