Parameter identification of induction motors. 1. The model-based concept

The model-based identification concept is applied to the problem of parameter identification in induction motors. The convergence of the identification algorithm is investigated using extended and partial data acquisition. The developed approach to parameter identification requires full state measurement. A parameter subset identification methodology and online implementation issues are also introduced using the identification method developed by Lyshevski (1997). These very important side-aspects of the model-based identification concept have not been emphasized in the current literature