Induction motor speed speed estimation: estimation: neural versus phenomenological model approach

摘要

Two approaches to speed estimation of an induction motor in the drive system, utilizing only easy measurable electrical signals, are presented, discussed and compared. One is based on phenomenological model of the motor and least squares solution of an over determined set of linear equations. Another utilizes nonlinear system modeling via neural network. These two models are complementarily treated in the paper. The phenomenological model Is simple and easily interpretable, but it is very sensitive to parameter changes. The neural Model requires that input variables are preprocessed.