Identification of actuator model in an electrical machine by prediction error method and cultural particle swarm optimization

This paper discusses identification of an actuator model, which has been built inside a two-pole induction motor in order to control rotor vibrations. The methods used for identification are prediction error method and cultural particle swarm optimization with mutation. The first-mentioned method produces a black box model with correspondence to input-output measurements. The second method is used to identify parameters of a linear time-invariant state-space model, which is based on electromechanical equations. The results are compared in time domain and in frequency domain.