Analyze the Crosstalk of Multi-core Twisted Wires and the Effect of Non-matched Impedance Based on BSAS-BPNN Algorithm

The Applied Computational Electromagnetics Society Journal (ACES) Pub Date : 2023-07-06 DOI:10.13052/2023.aces.j.380202

Fubin Pang, Jianfei Ji, Jiafei Ding, Wu Zhang, Dong Xu, Mengxia Zhou

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Abstract

In this paper, a multi-core twisted wire model with random non-uniform twists is established. The random combination of complete and non-complete pitch sections is used to accurately simulate the randomness of actual multi-core twisted wires. On the basis of the model, the cross section of the cascaded MTL is obtained, and a neural network algorithm is used to describe the complex relationship between the arbitrary position of the multi-core twisted wires and the unit length parameters. The unit length parameters at any position are obtained by cross section rotational transformation and random transposition transformation between conductors. Finally, the crosstalk in electromagnetic compatibility performance is calculated, and different termination impedances are analyzed. The results show that the crosstalk of multi-core twisted wires is susceptible to the effects of twisting and termination impedance at high frequencies, and the reliability of the proposed method is verified by comparison with full-wave simulation.

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基于BSAS-BPNN算法分析多芯双绞线串扰及非匹配阻抗的影响

本文建立了具有随机非均匀扭转的多芯绞线模型。采用完全节段和不完全节段的随机组合，精确模拟了实际多芯双绞线的随机性。在该模型的基础上，得到了级联MTL的截面，并利用神经网络算法描述了多芯双绞线任意位置与单位长度参数之间的复杂关系。通过截面旋转变换和导线间的随机转置变换，得到任意位置的单位长度参数。最后，对电磁兼容性能中的串扰进行了计算，并对不同的终端阻抗进行了分析。结果表明，高频时多芯双绞线串扰易受扭转阻抗和端接阻抗的影响，并通过与全波仿真的对比验证了该方法的可靠性。

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The Applied Computational Electromagnetics Society Journal (ACES)

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