Angle Prediction for Field Orientation Based on Back Propagation Neural Network of Wireless Power Transfer System

In an omnidirectional wireless power transfer (WPT) system, the technology of field orientation is seen as a new method to raise transfer efficiency and the angle change of receiving coil is the major constraint of field orientation in the system. At present, it is no method to accurately predict the angle of receiving coil. This paper proposes an angle prediction method based on back propagation neural network to address the problem of low prediction accuracy. This method can accurately predict the angle and has a better generalization ability. The proposed method is verified by simulation, and experimental results.