Identification of a Permanent Magnet Synchronous Generator using neuronal networks

The generation distributed systems are a good alternative for the reasonable use of energy. In most applications of distributed generation synchronous generator magnets are used for energy conversion. Neuronal networks are an appropriate option for both, nonlinear complex systems and modeling. Previous power plant identification is necessary for proper implementation of control strategies with neuronal networks. In this paper, the identification of a synchronous generator magnet is shown using a neuronal network.