Comparing Parameter Identification Strategies for a Saturated Model of an Induction Motor

Parameter identification for the dynamic model of an induction motor is evaluated, taking into account the magnetic saturation curve. The identification scheme is based on a Particle Swarm Optimization algorithm to fit the motor and model startup stator currents curves. Two different strategies are compared. The first one adds the saturation effects on the magnetizing inductance after using a linear inductance model in the identification process, the second one includes the magnetic saturation curve through the model identification process. The resultant models are tested in a variable flux motor control system. Results show differences in the dynamic response for the magnetizing current.