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Vector fitting model order reduction method based on error control in linear system

A vector fitting and linear system technology, applied in the field of vector fitting model reduction, can solve the problems of low simulation efficiency and high model order

Active Publication Date: 2017-02-01
BEIHANG UNIV
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Problems solved by technology

However, for broadband linear systems, the model built according to the traditional vector fitting often has a high order, and the simulation efficiency is not high.

Method used

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  • Vector fitting model order reduction method based on error control in linear system
  • Vector fitting model order reduction method based on error control in linear system
  • Vector fitting model order reduction method based on error control in linear system

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Embodiment Construction

[0071] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0072] The error control-based vector fitting model reduction method provided by the present invention first obtains the port network parameters of a linear system under a certain bandwidth through simulation, such as scattering (S) parameters. By introducing the error control function, the data containing the important characteristics of the linear system are selected through continuous iteration, and by ignoring the small change data at some representative details, the order of the built model can be effectively reduced at the expense of a certain modeling accuracy. . Under the condition that the modeling accuracy requirements are met, the low-order pole-residue macromodel is obtained. Then the pole-residue macromodel is further transformed into a state-space model, and then passivity is processed, and finally the established pole-residue m...

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Abstract

The invention discloses a vector fitting model order reduction method based on error control in a linear system. Specific to the conventional vector fitting, the order of a constructed pole-residue model is always very high under a wide frequency band, particularly in a highly-dynamic linear system with a resonance point. An error control function is introduced, data including important features of the linear system are selected in a continuous iteration way, and certain slightly-varied data representing details are neglected, so that the order of the constructed model is effectively reduced under the condition of sacrificing certain modeling accuracy. A low-order pole-residue macro model is obtained under the condition that the modeling accuracy requirement is met. The pole-residue macro model is further transformed into a state space model, passive processing is performed, and the constructed pole-residue macro model is output lastly. By adopting the vector fitting model order reduction method, the balance between model accuracy and complexity is realized, and the simulation efficiency of electromagnetically-compatible electromagnetic emission is increased.

Description

technical field [0001] The invention relates to a vector fitting model reduction method based on error control in a linear system, belongs to the technical field of electromagnetic compatibility, and lays a foundation for realizing quantitative design and simulation of electromagnetic compatibility. Background technique [0002] With the development of electronic systems in the direction of high frequency, high speed, miniaturization, multi-function and integration, the problem of electromagnetic compatibility has become more and more prominent in the process of electronic system design, and has become one of the key issues restricting the development of electronic systems. one. [0003] An accurate and effective electromagnetic emission model is the key to the prediction, simulation and quantitative design of electronic system electromagnetic compatibility. The currently popular modeling method based on vector fitting can quickly establish a broadband equivalent model base...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/20
Inventor 谢树果张卫东苏东林阎照文
Owner BEIHANG UNIV
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