Non-linear model building and optimizing of SRG in wave power generation system

Wave power generation is a prospective technology to provide clean and renewable energy. In the wave power generation system, Switched Reluctance Generator (SRG) is a leading technology for energy conversion devices. A novel nonlinear BP neural network model is given to ensure that the SRG can response to the wave change more quickly and more efficiently. During the training course, several algorithm performances were compared. And the generalization of the SRG model has been verified.