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An Analysis Method for the Correlation between Catenary Irregularities and Pantograph-catenary Contact Force

机译:悬链不平度与受电弓与副接触力的相关性分析方法

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Pantograph-catenary contact force provides the main basis for evaluation of current quality collection; however,the pantograph-catenary contact force is largely affected by the catenary irregularities. To analyze the correlatedrelationship between catenary irregularities and pantograph-catenary contact force, a method based on NARX(Nonlinear Auto-Regressive with eXogenous input) neural networks was developed. First, to collect the test dataof catenary irregularities and contact force, the pantograph/catenary dynamics model was established anddynamic simulation was conducted using MATLAB/Simulink. Second, catenary irregularities were used as theinput to NARX neural network and the contact force was determined as output of the NARX neural network, inwhich the neural network was trained by an improved training mechanism based on the regularization algorithm.Third, the simulation results and the comparison with other algorithms indicate the validity and superiority ofthe proposed approach.
机译:受电弓与类别的接触力为评估当前质量收集提供了主要依据;然而, 受电弓与类别的接触力在很大程度上受到悬链不规则的影响。分析相关 链不规则性与受电弓与副接触力之间的关系,一种基于NARX的方法 (带有外源输入的非线性自回归)神经网络得到了发展。一,收集测试数据 针对接触网的不规则性和接触力,建立了受电弓/接触动力学模型并 动态仿真是使用MATLAB / Simulink进行的。第二,接触网的不规则性被用作 输入到NARX神经网络,并将接触力确定为NARX神经网络的输出,在 通过基于正则化算法的改进训练机制对神经网络进行训练。 第三,仿真结果以及与其他算法的比较表明了该算法的有效性和优越性。 建议的方法。

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