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作 者:张永贤 黄盛科 Zhang Yongxian;Huang Shengke(College of Electrical and Automation Engineering,East China Jiaotong University,Nanchang 330013,China)
机构地区:[1]华东交通大学电气与自动化工程学院,南昌330013
出 处:《电子测量与仪器学报》2023年第6期187-194,共8页Journal of Electronic Measurement and Instrumentation
基 金:江西省青年科学基金重点项目(20192ACBL21005)资助。
摘 要:针对无绝缘轨道电路中道砟电阻易受工作环境影响以及现场测量困难的问题,提出一种道砟电阻估算方法。首先根据二端口网络理论,构建调整状态下轨道电路传输模型,仿真分析道砟电阻和补偿电容对轨道电路各设备两端电压、电流的影响规律;其次基于现场微机监测数据,计算轨道电路各设备两端电压、电流仿真值与监测值之间的误差;最后利用粒子群优化算法,将轨道电路传输模型和误差值作为算法适应函数和适应值估算道砟电阻,并对结果进行性能验证。实验结果表明该方法的估算结果在验证中平均绝对百分比误差(MAPE)为14.31%,计算精度相比轨入电压法较优,从而验证所提道砟电阻估算方法的有效性和可行性。Aiming at the problems that the ballast resistance in the jointless track circuit is easily affected by the working environment and the implementation of field measurement is difficult,the ballast resistance estimation method is proposed.Firstly,according to the two-port network theory,the transmission model of the jointless track circuit under the adjustment state is constructed,and the influence law of ballast resistance and compensation capacitance on the voltage and current value at each end of the track circuit equipment is analyzed by simulation.Secondly,based on field microcomputer monitoring data,the error between the simulated value and the measured value of the voltage and current at each end of the track circuit equipment is calculated.Finally,the particle swarm optimization algorithm is used to estimate ballast resistance value by regarding the track circuit transmission model and the error value as the adaptation function and the algorithm adaptation value respectively.And the results are used for performance verification.The experimental results show that the estimated result of this method is verified and the mean absolute percentage error(MAPE)reaches 14.31%.Thus,the calculation accuracy of this method is better than that of the rail entry voltage method,which verifies the validity and feasibility of this method.
关 键 词:无绝缘轨道电路 道砟电阻 微机监测 粒子群优化算法
分 类 号:U284.2[交通运输工程—交通信息工程及控制]
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