基于广义混沌多项式法的多导体传输线辐射敏感度分析方法

doi:10.19595/j.cnki.1000-6753.tces.190920

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Abstract In this paper, generalized polynomial chaos (gPC) method is used to analyze the uncertainty of radiation sensitivity response of multiconductor transmission lines. In the multiconductor transmission lines radiation sensitivity model, due to the complexity of the electromagnetic environment in the actual situation, elevationθ, azimuth Ψ, polarization η and electrical level amplitude E₀ have strong randomness as related input variables. In this paper, a multiconductor transmission lines model with infinite ground as reference conductor is adopted. The above four parameters are taken as random input variables and subjected to different distribution types. Based on the gPC and multiconductor transmission lines theory, the statistical characteristic parameters such as mean, standard deviation and probability distribution of radiation sensitivity of transmission lines are calculated. In order to ensure the EMC performance of transmission lines system and provide theoretical guidance for electromagnetic protection measures, this paper combines gPC method and Sobol global sensitivity analysis method based on variance decomposition to calculate the relevant parameters, so as to obtain the influence degree of each random input variable on the radiation sensitivity of transmission lines in the system. The results of this method are compared with those based on Monte Carlo method (MC) to verify the feasibility and efficiency of this method.

Key words： Electromagnetic compatibility radiation sensitivity multiconductor transmission lines generalized polynomial chaos method global sensitivity analysis

Received: 25 July 2019

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TM246

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	Yu Quanyi
	Liu Changying
	Wu Dingchao
	Wang Tianhao
	Chi Yaodan

Cite this article:

Yu Quanyi,Liu Changying,Wu Dingchao等. Radiation Sensitivity Analysis of Multiconductor Transmission Lines Based on Generalized Polynomial Chaos Method[J]. Transactions of China Electrotechnical Society, 2020, 35(17): 3591-3600.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.190920 OR https://dgjsxb.ces-transaction.com/EN/Y2020/V35/I17/3591

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