Simulation of High Frequency Twisted Pair Cable Using DDM-FEM Hybrid Algorithm

作者

  • S. Khan Department of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210046, China
  • Y. Zhao Department of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210046, China
  • Y. Wei Department of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210046, China
  • A. Mueed Department of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210046, China
  • Z. Ullah Department of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210046, China
  • A. Khan Department of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210046, China

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https://doi.org/10.13052/2022.ACES.J.370113

关键词:

Domain decomposition method (DDM), Finite element method (FEM), Hybrid Solver, Propagation constant, RLCG parameter, Twisted pair cable

摘要

In this article, an efficient domain decomposition method finite element method (DDM-FEM) algorithm is presented for the lossy twisted pair cable. In harsh environment and anti-interface ability, cables need high toughness, noise immunity, and extraordinary strength. We, in this paper, simulate a physical model of twisted pair cable and apply a hybrid solver of DDM-FEM to analyze these problems by compression and approximation of matrix-vector product. The DDM-FEM solver along with matrix compression is used to compute the RLCG, propagation constant in the twisted pair cable, and to reduce the computational time and memory size. Therefore, in the proposed algorithm, the complexities of the system become linear. The study compares the calculated results with the existing standard to verify the effectiveness of the proposed algorithm.

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Shumail Khan received the B.E. degree from CECOS University, Peshawar, Pakistan, in 2005-2010 and the master’s degree from Southeast University, Nanjing China, in 2015-2017.

He then worked as an Assistant Plant Engineer with Hydral Power station Malkand-III, his Dargi Pakistan in 2011-2015. He is currently a Ph.D. Research Scholar with Nanjing Normal University, Nanjing, China, under the supervision of Prof. Zhao Yang. His research interests include electromagnetic compatibility problems, computational electromagnetics, transient analysis, and crosstalk issues.

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Zhao Yang received the B.E., M.E., and Ph.D. degrees in power electronic technology from the Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 1989, 1992, and 1995, respectively.

He is currently a Professor with Nanjing Normal University, Nanjing, China. His research interests are in the areas of electromagnetic compatibility, power electronics, and automotive electronics.

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Yan Wei received the M.S. degree in electrical engineering and the Ph.D. degree in physics and electronics from Nanjing Normal University, Nanjing, China, in 2011 and 2014, respectively.

Since 2014, he has been with the Jiangsu Electrical Equipment EMC Engineering Laboratory, Nanjing Normal University, where he is presently working as an Associate Professor. His current research interests include integrated circuit electromagnetic compatibility testing, bio-electromagnetic technology, and automotive electromagnetic compatibility design.

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Abdul Mueed received the master’s degree in electrical engineering from the University of Engineering and Technology, Taxila, Pakistan, in 2015.

From 2009 to 2017, he worked as a Lecturer in Electrical Engineering with the Dr A Q Khan Institute of Technology, Mianwali, Pakistan. He is currently working as a Research Scholar with Nanjing Normal University, Nanjing, China. His primary research interests include the electromagnetic compatibility problems, computational electromagnetic techniques, artificial intelligence application in EMC, and EMC-related issues in biomedical.

参考

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已出版

2022-01-31

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[1]
S. . Khan, Y. . Zhao, Y. . Wei, A. . Mueed, Z. . Ullah, 和 A. . Khan, 《Simulation of High Frequency Twisted Pair Cable Using DDM-FEM Hybrid Algorithm》, ACES Journal, 卷 37, 期 1, 页 109–116, 1月 2022.

期

2022: Vol 37 Iss 1

栏目

General Submission