System identification of an induction motor

Abstract

The induction motor system is dynamically formulated by both the mechanical and electrical equations. In system identification of an induction motor, main objective is to compare parameters between identified by using rotating speed and that by both rotating speed and robust observer. The real-coded genetic algorithm (RGA) is adopted to identify all parameters, and the reduced-order robust observer is used to reconstruct the non-measurable state variables, for examples, the stator current and rotor flux. From numerical simulations and experimental results, it is found that the robust observer association with RGA can be used to identify the non-measurable state variables for an induction motor.