本文采用的神经网络预测的方法能有效的改善磁滞效应所产生的问题。
The simulation results also indicate that the neural network predictive can effectively solve the problem induced by hysteresis.
本文对MR阻尼器的固有特性磁滞效应对控制效果的影响进行了研究。
Magnetic hysteresis is the intrinsic characteristic of MR dampers, which will have more serious effect on the performance of MR dampers.
所提出的方法将永磁材料包括局部回线在内的磁滞特性包含到数学模型中，在合理的假设下，考虑了计及磁滞效应的“旋转磁化”。
The rotational limit line was introduced to the rotational hardening law and a parameter b was added to the model to reflect the evolution of anisotropy.
本文还建立了一个考虑磁滞和涡流效应的磁路模型，推导了广义节点方程和磁路方程。
A magnetic circuit model which can take hysteresis and eddy current effect into consideration is given. Generalized nodal equations and magnetic circuit equations are derived.
本文还建立了一个考虑磁滞和涡流效应的磁路模型，推导了广义节点方程和磁路方程。
A magnetic circuit model which can take hysteresis and eddy current effect into consideration is given. Generalized nodal equations and magnetic circuit equations are derived.
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