Synchronous machine model parameters estimation by a time-domain identification method

In this paper, the captured data from a real physical machine is used to investigate a nonlinear identification method. Since many practical systems, such as synchronous machines are nonlinear, linear models identified for a particular operating condition may not perform well for other operating conditions. The nonlinear H∞ identification is used to overcome this shortcoming and to find a robust model despite noise and system uncertainities. The proposed method is applied on a simulated nonlinear model of a synchronous machine and is also tested on a physical machine. The field voltage is considered as the input, and the active output power and the terminal voltage are considered as the outputs of the synchronous machine. Simulation and experimental results show good accuracy of the identified model.