多导体线束内串扰概率分布的预测

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (3693 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract Crosstalk is a kind of mutual electromagnetic interference (EMI) among transmission lines in electric or electronic system, which often leads to a low reliability of the system. As typical multiconductor transmission lines (MTLs), cable bundles have a prominent problem of crosstalk. Considering the uncertainty of the position of the wires in cable bundles, a method for predicting the probability distribution of crosstalk in cable bundles is proposed in this paper. Assuming that the cross-section is fixed, the cable bundle is divided into N segments. Then the distribution of electromagnetic parameters of a single segment is calculated, and the probability distribution of electromagnetic parameters of the whole cable bundle is obtained by convolution algorithm. Based on Monte Carlo method, the probability distribution of crosstalk is obtained according to the MTLs theory, which can help the designer to find potential crosstalk problems and to evaluate the reliability of system with influence. In order to acquire appropriate segement number N, an emprical formula according to the degree of twist is proposed. For a specific example, its simulation and experiment are both carried out. The experimental results show that the number of N should be commensurate with the degree of twist. What′s more, a higher twisting degree will bring the concentration of probability distribution, which means there is an averaging tendency.

Key words： Crosstalk cable bundle multiconductor transmission lines probability distribution

Received: 22 January 2016 Published: 17 April 2017

PACS:

TM249

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Zhang Zhao
	Wang Shishan
	Zhao Liang
	Zhao Bo

Cite this article:

Zhang Zhao,Wang Shishan,Zhao Liang等. Prediction of Crosstalk Probability Distribution in Cable Bundles[J]. Transactions of China Electrotechnical Society, 2017, 32(7): 204-214.

URL:

https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2017/V32/I7/204

[1] Paul C R.Introduction to electromagnetic compati-bility[M].NewYork:Wiley,2006.
[2] 潘启军,孟庆云,张向明,等.基于互感参数提取的多导体与多导线模型缩减方法研究[J].电工技术学报,2015,30(8):289-296.
Pan Qijun,Meng Qingyun,Zhang Xiangming,et al.A model reduction study of multiple conductors and multiple wires based on extraction of mutual inductance parameters[J].Transactions of China Electrotechnical Society,2015,30(8):289-296.
[3] 邹俊雄,陈泽兴,张勇军,等.兼顾通用性和差异性的20 kV电缆网无功配置率优化[J].电工技术学报,2016,31(9):8-15.
Zou Junxiong,Chen Zexing,Zhang Yongjun,et al.Optimization of the rate of reactive power allocation in 20 kV cable networks considering generality and difference[J].Transactions of China Electrotechnical Society,2016,31(9):8-15.
[4] 唐昆明,唐辰旭,罗建,等.基于RLC模型参数辨识的配网电缆单相接地故障的单端时域测距方法[J].电力系统保护与控制,2014,42(4):54-60.
Tang Kunming,Tang Chenxu,Luo Jian,et al.A single-ended time domain fault location method for distribution network cable single-phase earth fault based on RLC model parameter identification[J].Power System Protection and Control,2014,42(4):54-60.
[5] 姚海燕,张静,留毅,等.基于多尺度小波判据和时频特征关联的电缆早期故障检测和识别方法[J].电力系统保护与控制,2015,43(9):115-123.
Yao Haiyan,Zhang Jing,Liu Yi,et al.Method of cable incipient faults detection and identification based on multi-scale waveletcriterions and time-frequency feature association[J].Power System Protection and Control,2015,43(9):115-123.
[6] 王雄伟,张哲,尹项根,等.多回单芯电力电缆并联运行护套感应电压的计算与分析[J].电力系统保护与控制,2015,43(22):77-84.
Wang Xiongwei,Zhang Zhe,Yin Xianggen,et al.Calculation and analysis of sheath induced voltage for multi-circuit single-core power cable lines in parallel[J].Power System Protection and Control,2015,43(22):77-84.
[7] Bellan D,Pignari S A.Estimation of crosstalk in nonuniform cable bundles[C]//International Symposium on Electromagnetic Compatibility,2005,2:336-341.
[8] Paul C R.Prediction of crosstalk in ribbon cables:comparison of model predictions and experimental results[J].IEEE Transactions on Electromagnetic Compatib-ility,1978,20(3):394-406.
[9] 张刚,王立欣,刘超.高频多导体串扰的简化三维全波算法及其有效性评估[J].电工技术学报,2012,27(9):140-145.
Zhang Gang,Wang Lixin,Liu Chao.A multiconductor reduction 3D full-wave method for high frequency crosstalk problem and its validation [J].Transactions of China Electrotechnical Society,2012,27(9):140-145.
[10]Salio S,Canavero F,Lecointe D,et al.Crosstalk prediction on wire bundles by Kriging approach[C]//IEEE International Symposium on Electromagnetic Compatibility,Washington DC,2000,1:197-202.
[11]Sun Shihuang,Liu Geping.Hand-assembled cable bundle modeling for crosstalk and common-mode radiation prediction[J].IEEE Transactions on Electromagnetic Compatibility,2007,49(3):708-718.
[12]Wu Meilin,Beetner D G,Hubing T H,et al.Statistical prediction of “reasonable worst-case” crosstalk in cable bundles[J].IEEE Transactions on Electroma-gnetic Compatibility,2009,52(3):842-851.
[13]李永明,杨娜,郑亚利,等.汽车不均匀线束串扰特性预测的改进方法[J].重庆大学学报,2012,35(6):48-52.
Li Yongming,Yang Na,Zheng Yali,et al.Prediction of crosstalk characterisation in cable bundles[J].Journal of Chongqing University,2012,35(6):48-52.
[14]高印寒,王天皓,杨开宇,等.汽车线束的动态串扰特性预测[J].吉林大学学报,2014,44(5):1258-1263.
Gao Yinhan,Wang Tianhao,Yang Kaiyu,et al.Prediction of the dynamic crosstalk of automotive wiring harness[J].Journal of Jilin University,2014,44(5):1258-1263.
[15]包贵浩,苏东林,戴飞,等.非均匀螺距的双绞线串扰统计特性分析[J].北京航空航天大学学报,2014,40(2):193-197.
Bao Guihao,Su Donglin,Dai Fei,et al.Statistical analysis for crosstalk of twisted-wire pairs with non-uniform pitch[J].Journal of Beijing University of Aeronautics and Astronautics,2014,40(2):193-197.
[16]Bellan D,Pignari S A.Efficient estimation of crosstalk statistics in random wire bundles with lacing cords[J].IEEE Transactions on Electromagnetic Compatibility,2011,53(1):209-218.
[17]国防科学技术工业委员会.GJB1014 飞机布线通用要求[S].1990.
[18]文德智,卓仁鸿,丁大杰,等.蒙特卡罗模拟中相关变量随机数序列的产生方法[J].物理学报,2012,61(22):1-8.
Wen Dezhi,Zhuo Renhong,Ding Dajie,et al.Method for generating random number sequence of correlated variables in Monte Carlo simulation[J].Acta Physica Sinica,2012,61(22):1-8.