Sensorless induction spindle motor drive using fuzzy neural network speed controller

A sensorless induction spindle motor drive using synchronous PWM and dead-t ime compensator with fuzzy neural network (FNN) speed controller is propose d in this study for advanced spindle motor applications. First, the operati ng principles of a new type synchronous PWM technique are described in deta il. Then, a speed observer based on the model reference adaptive system (MR AS) theory is adopted to estimate the rotor speed. To increase the accuracy of the estimated speed, the speed estimation algorithm is implemented usin g a digital signal processor. Moreover, since the control characteristics a nd motor parameters for high speed operated induction spindle motor drive a re time-varying, an FNN speed controller is developed to reduce the influen ce of parameter uncertainties and external disturbances. In addition, the F NN is trained on-line using a delta adaptation law. Finally, the performanc e of the proposed sensorless induction spindle motor drive system is demons trated using some simulation and experimental results. (C) 2001 Elsevier Sc ience BN. All rights reserved.