基于LPTN信息神经网络的永磁同步电机多节点温度估计混合热建模

To achieve improved multinode temperature estimation with limited training data in permanent magnet synchronous motors, a novel approach of a lumped-parameter thermal network (LPTN) informed neural network is proposed in this article. First, the parameter and model uncertainties of third or higher order LPTNs with global parameter identification for temperature estimation are systematically stated...