基于改进思维进化算法优化BP神经网络的六极径向主动磁轴承解耦控制

To solve the coupling issues of radial displacements in the two degrees of freedom of a six-pole radial active magnetic bearing (AMB) rotor, a decoupling control strategy based on backpropagation neural network (BPNN) inverse optimized by an improved mind evolutionary algorithm (MEA) is proposed. First, the structure and working principle of the six-pole radial AMB are introduced, and its mathemat...