遗传算法在列车自动保护中的应用

Liu Xiao, Zhang Ya-dong, Guo Jin
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引用次数: 1

摘要

列车自动保护在高速铁路中起着重要的作用,要实现这一功能,必须推导出列车制动模式曲线。传统的制动模式曲线算法编程逻辑复杂,精度不够。为了克服这些缺点,提出了一种基于遗传算法拟合的制动模式曲线算法。拟合列车制动特性数据,利用运动学公式进行微积分计算,推导出制动距离-速度函数,从而容易得到制动模式曲线。使用Matlab进行计算。将该方法的计算过程和结果与传统方法进行了比较,结果表明该方法更加简单、精确。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Genetic Algorithm in Automatic Train Protection
Automatic train protection plays an important role in high-speed railway, to implement this function, train braking mode curve must be derived. The programming logic of traditional braking mode curve arithmetic is complex, and its precision is not enough. To overcome these shortcomings, a braking mode curve arithmetic Based on curve fitting using genetic algorithm is proposed. Fit train braking characteristic data, use the kinematic formula for calculus calculation, and then braking distance-velocity function is derived, therefore braking mode curve can easily be obtained. Matlab is used for calculation. Compare the process and result of this new method with the traditional one, we can find this method is more simple and precise.
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