小半径曲线通过仿真数据处理与试验对比研究
Simulating and Comparing Data Processing of Small Radius Curving Performance

为比较不同数据处理方式对机车小半径曲线通过动力学性能的影响,运用多体动力学软件SIMPACK建立了某大功率交流传动电力机车动力学模型,采用不同方式对机车通过R300 m小半径曲线仿真结果处理,并与试验数据对比分析。结果表明:1) 数据处理方式对机车小半径曲线通过动力学性能影响很大。轮轴横向力和轮重减载率2 m平滑后统计值比1/4周长滤波时小9.84%~22.67%,各指标变化也更平缓;脱轨系数滤波后与滤波前相比,统计值减小14.62%~28.39%,明显消除了高频干扰信号的影响,且波长越大滤波的影响越大。2) 轨道不平顺越大,同一指标采用不同方式处理后变化百分比越大,数据处理方式对机车动力学性能的影响也越大。3) 各指标试验中的评定值对应的仿真轨道不平顺均较平均值对应的不平顺大;不同线路条件,不同方向上轨道不平顺的差异性又各不相同。应在今后的分析中考虑数据处理和线路不平顺的差异性,使仿真更好地反应实际。
In order to compare the influence of different data processing method on the dynamic performance of a locomotive, we use the multi-rigid-body dynamics software SIMPACK to establish the dynamic model of some high-power AC drive electric locomotive, process the simulation results of the locomotive that dynamically negotiates the 300m radius curve with different methods and compare them with the test results. The test results show that: 1) the data processing method has a great influence on the dynamic performance of the locomotive that negotiates the small radius curve. The statistics of the wheel-set lateral force and wheel load rate on the sliding mode over 2m is smaller than that over a quarter circumference for 9.84%~20.22%, and it changes more smoothly than the results over a quarter circumference at the same time. The high frequency interference signal of the derailment coefficient has been obviously eliminated after the sliding mode, and the statistics of derailment coefficient after sliding mean is reduced by 17.95%~21.21%. 2) The larger the track irregularity, the more the percentage of the same index changes after different processes, and the greater the influence of data processing method on the dynamic performance of the locomotive. 3) The track irregularity used in the simulation for the evaluation value in the test of each dynamic index is larger than that for the average value. For different lines, the difference of each direction is not the same. Therefore, it is necessary to consider the difference of the data processing method and irregularity in future analysis to make the simulation results in better agreement with the test results