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An Algorithm for Calculating the RMS Value of the Non-Sinusoidal Current Used in AC Resistance Spot Welding

机译:交流电阻点焊非正弦电流均方根值的计算算法

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摘要

In this paper, an algorithm based on a model analysis of the online calculation of the root-mean-square (RMS) value of welding current for single-phase AC resistance spot welding (RSW) was developed. The current is highly nonlinear and typically non-sinusoidal, which makes the measuring and controlling actions difficult. Though some previous methods focused on this issue, they were so complex that they could not be effectively used in general cases. The electrical model of a single-phase AC RSW was analyzed, and then an algorithm for online calculation of the RMS value of the welding current was presented. The description includes two parts, a model-dependent part and a model-independent part. Using a previous work about online measurement of the power factor angle, the first part can be solved. For the second part, although the solution of the governing equation can be directly obtained, a lot of CPU time must be consumed due to the fact that it involves a lot of complex calculations. Therefore, a neural network was employed to simplify the calculations. Finally, experimental results and a corresponding analysis showed that the proposed algorithm can obtain the RMS values with a high precision while consuming less time when compared to directly solving the equations.
机译:本文提出了一种基于模型分析的在线算法,用于在线计算单相交流电阻点焊(RSW)焊接电流的均方根(RMS)值。电流是高度非线性的并且通常是非正弦的,这使得测量和控制动作变得困难。尽管以前的一些方法都针对此问题,但它们是如此复杂,以致于无法在一般情况下有效地使用它们。分析了单相交流RSW的电气模型,提出了在线计算焊接电流有效值的算法。该描述包括两部分,模型相关部分和模型独立部分。使用先前关于在线测量功率因数角的工作,可以解决第一部分。对于第二部分,尽管可以直接获得控制方程的解,但由于它涉及许多复杂的计算,因此必须消耗大量的CPU时间。因此,采用了神经网络来简化计算。最后,实验结果和相应的分析表明,与直接求解方程相比,所提算法可以以较高的精度获得均方根值,而消耗的时间更少。

著录项

  • 来源
    《Journal of power electronics》 |2015年第4期|1139-1147|共9页
  • 作者

    Zhou Kang; Cai Lilong;

  • 作者单位

    Chinese Acad Sci, Inst Mech, State Key Lab High Temp Gas Dynam, Beijing 100080, Peoples R China|Hong Kong Univ Sci & Technol, Dept Mech & Aerosp Engn, Hong Kong, Hong Kong, Peoples R China;

    Hong Kong Univ Sci & Technol, Dept Mech & Aerosp Engn, Hong Kong, Hong Kong, Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Model-independent; Neural network; Nonlinear; RMS value; Single-phase AC RSW;

    机译:与模型无关;神经网络;非线性;RMS值;单相AC RSW;

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