A review of parameter estimators and controllers for induction motors based on artificial neural networks
We examine several artificial neuronal network schemes and their performances to estimate induction motor parameters. By means of this methodology, one can know where the induction motor motion control using neuronal networks is going and its trend. We present a comparison between several approaches to estimate parameters and control induction motors and report them with some of their results.
parameter estimation neural networks adjustable speed driver rotor-flux oriented adaptive observer real-time identification