Synchronous generator model identification using adaptive pursuit method

The application of an adaptive pursuit method for identification of a synchronous generator is investigated. The method is suitable for the identification of nonlinear systems in a noisy environment, particularly if online real-time adaptive control is the prime concern of the identification. The proposed method is first applied to a seventh-order nonlinear model of a synchronous generator with saturation effect and then tested on a micromachine system. In the study field voltage is considered as the input and the active output power and terminal voltages are considered as outputs of the synchronous generator. Simulation and experimental results show good accuracy of the identified models.