基于深度模糊推理的六极径轴向混合磁轴承神经网络逆系统解耦控制

To address the strong coupling and nonlinearity issues in the hybrid magnetic bearing (HMB) of magnetic levitation electric spindles, a deep fuzzy neural network inverse system (DFNNIS) decoupling strategy is proposed for the six-pole radial-axial HMB. First, the structure and principle of HMB are introduced, and its mathematical model of suspension force is derived. Second, the displacement and c...