重载机车横向振动自适应模糊控制技术

Self-Adaptive Fuzzy Control Method for Lateral Vibration of Heavy-Duty Locomotive

针对重载机车横向二系半主动悬挂系统，研究基于加速度反馈的自适应模糊控制技术。根据车体加速度及其变化率的大小，自动修改量化因子和控制规则，使模糊控制器对重载机车运行工况的变化具有自适应的能力。通过MATLAB软件与ADAMS／RAIL软件联合建立了由17个自由度组成的重载机车横向振动动力学模型，并进行仿真研究。仿真结果表明：在重载机车不同运行速度下，与被动控制相比，自适应模糊半主动控制的加速度最大值改善率、加速度有效值减少率和Sperling乘坐指数提高率分别为55％～64％，55％～77％和16％～35％。由此表明，自适应模糊半主动控制能够有效减少车体振动，提高机车的乘坐舒适性和平稳性。

Self-adaptive fuzzy control method based on the acceleration feedback is researched for the lateral suspension system of heavy-duty railway locomotive and car. The method can modify automatically the quantized factor and control rules according to the acceleration and its change rate of car body, and make the fuzzy controller have the self-adaptive ability to the variety of vehicle running condition. The lateral vibration dynamic model that has 17 freedoms is established by the union of MATLAB and ADAMS/RAIL to simulate the dynamic performance of heavy-duty locomotive and car. The simulation results show： at the different speed grade, comparing with passive control, the improving-rate of acceleration maximum is 55%-64% by using self-adaptive fuzzy control, the reducing rate of acceleration virtual value is 55%- 77%, and the improving rate of Sperling＇s ride index is 16%-35%. So the method of self-adaptive fuzzy control can attenuate the vibration of car body and effectively improve the running comfort and stationarity.