Research of induction type bearingless motor ' s magnetic suspension control using fuzzy neural network 永磁同步电动机的神经网络模糊控制器设计
Non - touch induction type working , havent mechanical movement . so doesnt need to change elevator car structure 非接触感应式工作方式,自身无机械运动,无需改变电梯轿厢结构。
And flux distributions and radial force of an induction type bearingless motor is analyzed employing the finite element method . relationships between the radial force and radial force winding currents are influenced by magnetic saturation . it was shown that the generated radial force reaches its maximum value due to magnetic saturation 首次运用有限元方法对该电机进行了深入的研究,充分展现了无轴承异步电机特有的气隙磁场分布、验证了稳定磁悬浮力产生的条件、指出了磁饱和对磁悬浮力的影响、利用有限元方法修正了磁悬浮力数学模型。