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Automation of Adjustment of the Selective Characteristic of a Locomotive Traction Generator with Electric Transmission

机译:电气传动机车牵引发电机选择特性的自动调整

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摘要

This paper studies a method of automation of adjustment of the selective characteristic of a locomotive traction generator that makes it possible to use most completely and efficiently the free capacity of the engine. The problem of minimization of the functions of several variables is solved using the Hooke–Jeeves method, the algorithm being a combination of the exploratory search with the alternative change of the variables and accelerating pattern matching search in the direction determined in the process of the exploratory search. A computer program is developed allowing automating the process of adjustment of the selective characteristic of the locomotive traction generator. Based on the proposed method, a series of the training programs is developed for studying the electrical circuits of the locomotives. The main difference of these programs from programs of similar purpose is the presence of a detailed mathematical model of the studied circuit node, in which the total functionally of the program is based. This model allows calculating and reflecting the state of the electrical circuit at any state of the control elements and in any operation mode of the power plant using virtual measuring devices for troubleshooting and adjusting the circuit.
机译:本文研究了一种自动调节机车牵引发电机选择特性的方法,该方法可以最充分,最有效地利用发动机的自由容量。使用Hooke-Jeeves方法解决了多个变量函数最小化的问题,该算法是探索性搜索与变量的交替变化以及在探索过程中确定的方向上加速模式匹配搜索的组合搜索。开发了一种计算机程序,该程序可以自动调节机车牵引发电机的选择特性。基于提出的方法,开发了一系列的训练程序来研究机车的电路。这些程序与具有类似目的的程序的主要区别在于,存在所研究电路节点的详细数学模型,该程序的总体功能基于该模型。该模型允许使用虚拟测量设备对发电厂的任何状态下的控制元件的任何状态和状态进行计算和反映,以对电路进行故障排除和调整。

著录项

  • 来源
    《Russian electrical engineering》 |2018年第10期|581-587|共7页
  • 作者单位

    Emperor Alexander I St. Petersburg State Transport University;

    Emperor Alexander I St. Petersburg State Transport University;

    Emperor Alexander I St. Petersburg State Transport University;

  • 收录信息 美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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