SWITCHED RELUCTANCE MOTOR MODELING WITH ONLINE PARAMETER-IDENTIFICATION

A nonlinear model with on-line parameter estimation using recursive id entification for switched reluctance motors (SRM's) is presented. The model is robust toward parameter variations in the motor or any system disturbances. The parameters of the model are adjusted to account for errors in rotor position, which allows the use of crude inexpensive p osition sensors. The proposed modeling approach allows self tuning of SRM's in a production unit. The simulations and experiments performed to test the model demonstrate the accuracy of estimation of the model.