Quantum mechanics

Control (management)

Voltage

Engineering

Biology

Identification (biology)

Control engineering

Synchronous motor

Power (physics)

Computer science

Botany

Permanent magnet synchronous generator

Physics

Nonlinear system

Database

Electric power system

System identification

Artificial intelligence

Generator (circuit theory)

Control theory (sociology)

Artificial neural network

Data modeling

Electrical engineering

Application of Wiener-neural model for identification of a synchronous generator is investigated in this paper. The proposed method is first applied on a simulated synchronous generator with saturation effect and then it is tested on a micro-machine system. In this study, 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 generator. Simulation and experimental results show good accuracy of the identified models.

Synchronous generator nonlinear model identification using wiener-neural model