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为了抑制高速列车车体横向振动,对列车二系横向悬挂系统采用半主动模糊控制策略。考虑列车模型车体柔性,将其简化为梁,在ANSYS中建立有限元模型并将模态中性文件导入ADAMS/Rail中,建立列车刚/柔耦合动力学模型。在模糊控制的基础上,采用遗传优化算法离线优化模糊控制器的量化因子、比例因子和隶属度函数,通过优化的模糊控制器来控制车体横向振动加速度。仿真计算结果表明,采用必要的横向半主动悬挂系统遗传优化模糊控制,有效地降低了列车车体横向振动,改善了列车横向乘坐舒适性。
In order to restrain the lateral vibration of high-speed train body, the semi-active fuzzy control strategy is applied to the train second-line lateral suspension system. Taking into account the flexibility of the train model body and simplifying it to a beam, a finite element model is established in ANSYS and a modal neutral file is imported into the ADAMS / Rail to establish a train rigid-flexible coupling dynamics model. On the basis of fuzzy control, the genetic optimization algorithm is used to optimize the fuzzy controller’s quantizing factor, scale factor and membership function off-line, and the optimal fuzzy controller is used to control the lateral acceleration of vehicle body. The simulation results show that the genetic optimization fuzzy control with the necessary transverse semi-active suspension system can effectively reduce the lateral vibration of the train body and improve the ride comfort of the train.