Analysis of Crosstalk Problem in Multi-Twisted Bundle of Multi-Twisted Wire Based on BSAS-BP Neural Network Algorithm and Multilayer Transposition Method

Authors

  • Chao Huang School of Electrical & Automation Engineering Nanjing Normal University, Nanjing 210046, China
  • Yang Zhao School of Electrical & Automation Engineering Nanjing Normal University, Nanjing 210046, China
  • Wei Yan 1 School of Electrical & Automation Engineering Nanjing Normal University, Nanjing 210046, China,2 Zhenjiang Institute for Innovation and Development Nanjing Normal University, Zhenjiang 212004, China
  • Qiangqiang Liu School of Electrical & Automation Engineering Nanjing Normal University, Nanjing 210046, China
  • Jianming Zhou School of Electrical & Automation Engineering Nanjing Normal University, Nanjing 210046, China
  • Zhaojuan Meng School of Electrical & Automation Engineering Nanjing Normal University, Nanjing 210046, China
  • Abdul Mueed School of Electrical & Automation Engineering Nanjing Normal University, Nanjing 210046, China

Keywords:

Beetle swarm antennae search (BSAS) method, back propagation neural network (BPNN), crosstalk, multi-twisted bundle of multi-twisted wire (MTB-MTW), multilayer transposition method, multiconductor transmission lines (MTLs)

Abstract

Twisted wire used in complex systems has the ability to reduce electromagnetic interference, but crosstalk within the wire is not easy to obtain. This paper proposes a method to predict the crosstalk of multi-twisted bundle of multi-twisted wire (MTB-MTW). A neural network algorithm based on back propagation optimized by the beetle swarm antennae search method (BSAS-BPNN) is introduced to mathematically describe the relationship between the twist angle of the wire harness and the per-unit-length (p.u.l) parameter matrix. Considering the symmetry of the model, the relationship between the unresolved angle of the BSAS-BPNN algorithm and the p.u.l parameter matrix is processed by using the multilayer transposition method. Based on the idea of the cascade method and the finite-difference time-domain (FDTD) algorithm in Implicit-Wendroff format, the crosstalk of the wire is obtained. Numerical experiments and simulation results show that the new method proposed in this paper has better accuracy for the prediction of the model. The new method can be generalized to the MTB-MTW model with any number of wires. All theories provide preliminary theoretical basis for electromagnetic compatibility (EMC) design of high-band circuits.

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Author Biographies

Chao Huang, School of Electrical & Automation Engineering Nanjing Normal University, Nanjing 210046, China

Chao Huang was born in Anhui Province, China. He received the B.S degree in School of electrical Engineering and Automation from Anhui University of Technology, Maanshan, China, in 2018. He is currently working toward the Master’s degree in Electrical Engineering at Nanjing Normal University, Nanjing, China. His main research interests include multi-conductor transmission lines and EMC.

Yang Zhao, School of Electrical & Automation Engineering Nanjing Normal University, Nanjing 210046, China

Yang Zhao received his B.E., M.E., and Ph.D. degree all in Power Electronic Technology from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 1989 and 1992, and 1995, respectively. He is currently the Professor with Nanjing Normal University. His research interests are in the areas of Electromagnetic Compatibility, Power Electronics and Automotive Electronics.

Wei Yan, 1 School of Electrical & Automation Engineering Nanjing Normal University, Nanjing 210046, China,2 Zhenjiang Institute for Innovation and Development Nanjing Normal University, Zhenjiang 212004, China

Wei Yan Doctor & Assoc. Professor from Nanjing Normal University. He obtained the Physics and Electronics Ph.D. and Electrical Engineering M.S. from Nanjing Normal University in 2014 and 2011. He is the Senior Member of China Electrical Technology Association and the evaluation expert of the Electromagnetic Compatibility Calibration Specification of China.

Qiangqiang Liu , School of Electrical & Automation Engineering Nanjing Normal University, Nanjing 210046, China

Qiangqiang Liu was born in Anhui Province, China. He received the B.S. degree in School of Electrical Engineering and Automation from Anhui University of Science and Technology, Huainan, China, in 2018. He is currently working toward the Master’s degree in Electrical Engineering at Nanjing Normal University, Nanjing, China. His major research interests include new technology of electrical engineering.

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Published

2020-08-01

How to Cite

[1]
Chao Huang, “Analysis of Crosstalk Problem in Multi-Twisted Bundle of Multi-Twisted Wire Based on BSAS-BP Neural Network Algorithm and Multilayer Transposition Method”, ACES Journal, vol. 35, no. 8, pp. 941–950, Aug. 2020.

Issue

2020: Vol 35 Iss 8

Section

Articles