Complex cable bundle distribution parameter modeling method based on moment method

A technology of distributing parameters and modeling methods, applied in complex mathematical operations, CAD numerical modeling, electrical digital data processing, etc., and can solve problems such as huge differences in geometric dimensions and large meshes

Active Publication Date: 2020-03-24
INST OF APPLIED PHYSICS & COMPUTATIONAL MATHEMATICS
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Problems solved by technology

However, due to the huge difference in the cross-sectional and axial geometric dimensions of the cable structure, if the numerical simulation of the cable

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  • Complex cable bundle distribution parameter modeling method based on moment method
  • Complex cable bundle distribution parameter modeling method based on moment method
  • Complex cable bundle distribution parameter modeling method based on moment method

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Embodiment Construction

[0050] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings. It should be understood that these descriptions are only exemplary and not intended to limit the scope of the present invention. In addition, in the following description, descriptions of well-known structures and technologies are omitted to avoid unnecessarily obscuring the concept of the present invention.

[0051] The purpose of the embodiments of the present invention is to overcome the shortcomings and deficiencies in the prior art. A method for modeling complex cable bundle distribution parameters based on the method of moments is now provided, which includes the following steps:

[0052] Step 1: Combining the electric field integral equation in Maxwell’s equations with the physical characteristics of the cable bundle...

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Abstract

The invention provides a complex cable bundle distribution parameter modeling method based on a moment method. By combining a Maxwell equation set with the physical characteristics of a cable bundle,the complex cable bundle distribution parameter modeling method solves the charge distribution on the surface of a cable so as to obtain the potential distribution of charges and the voltage distribution among cables in the cable bundle, obtains the distributed capacitance parameter of the cable bundle based on the relationship among the capacitance C, the voltage and the charges, and then acquires other distribution parameters of the complex cable bundle according to the relationship among the capacitance C, the inductor L and the conductance G. The complex cable bundle distribution parametermodeling method based on the moment method has the advantages of being high in universality and capable of accurately extracting the distribution parameters of the multi-conductor transmission cablebundle.

Description

Technical field [0001] The invention belongs to the technical field of cable bundle parameter modeling methods, and specifically relates to a complex cable bundle distribution parameter modeling method based on the method of moments. Background technique [0002] Cable is one of the main ways of electromagnetic interference coupling, and it is also the focus of electromagnetic compatibility and electromagnetic protection. The cable network is an important way for electromagnetic interference "backdoor" coupling, and faces the severe test from the complex electromagnetic environment, especially the high-intensity radiation field (HIRF) environment. Numerical simulation algorithm is an important tool to evaluate the suitability of equipment to electromagnetic environment, guide electromagnetic compatibility design and protection design. However, due to the huge difference in the cross-section and axial geometric dimensions of the cable structure, if you directly use the three-dime...

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Application Information

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IPC IPC(8): G06F30/20G06F17/11G06F17/15G06F17/16G06F111/10G06F113/16
CPCG06F17/11G06F17/15G06F17/16Y02E60/00
Inventor 刘强郑宇腾周海京李瀚宇
Owner INST OF APPLIED PHYSICS & COMPUTATIONAL MATHEMATICS
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