Research on Thermal Model Calibration of Permanent Magnet Synchronous Motor Based on Digital Twin
In order to improve the accuracy and speed of monitoring,a calibration method based on digital twin is proposed.The finite element model of the motor is constructed and reduced,the thermal twin model based on deep learning and singular value decomposition is built,and the offline and online calibration,the mapping and interaction of the virtual and real space are completed,which ensures the update and accuracy of the digital twin after the actual state of the physical entity changes.
digital twin modelreduced order modelconvolutional neural networkonline calibrationpermanent magnet synchronous motor
万方数据
