基于物理信息神经网络的六极径向主动磁轴承转子位移自感知技术

To address the high cost and complexity of displacement sensors in magnetic bearing systems, a prediction model for rotor displacement based on a physics-informed neural network (PINN) with adaptive adjustment of multiple loss function weights is proposed for inverter-driven six-pole radial active magnetic bearings. First, the mathematical model of the levitation force is derived using the Maxwell...