Crosstalk analysis of twisted bundle of twisted wire pairs (<scp>TBTWPs</scp>) and star‐quad cables under the effect of inner and outer excitations

The coupling of electromagnetic pulse (EMP) with the star‐quad cable having reference conductor is analyzed by using the proposed model, which is based upon multi‐conductor transmission line theory. Expressions for common‐mode (CM) and differential‐mode (DM) currents are developed. Two cases are mainly discussed: the first case is the star‐quad cable with a central reference conductor, and the second case with the outside reference conductor. A rigorous comparison between these two cases shows that when the reference conductor is placed at the center, the magnitude of CM current is reduced dramatically, which is beneficial for electromagnetic compatibility (EMC). The CM current magnitude of the outside reference conductor is relatively very high due to the large CM current loop area, which is the least possible for the central reference conductor. There is no significant change in the DM current magnitude for both cases because the DM current has no direct dependence on the CM current loop area. A commercial software, FEKO, which utilizes the method of momentum (MoM), is used to compare the results of our proposed method, which are in good agreement.

Section: Transmission Line Equation's Solutionmentioning

confidence: 99%

Section: Transmission Line Equation's Solutionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Common‐mode current reduction in EMP coupling with the star‐quad cable having a reference conductor

Lodhi,

Zhu,

Gassab

2024

“…There are a few design parameters that have a significant impact on the crosstalk between wires, and EMC engineers can change them based on essential design rules. 27,28 Therefore, exploring wire routing rules that consider the uncertainty of neighboring wires 29 to solve EMC problems rather than making customized designs for a particular pair of wires is crucial. Our objective is to establish universal routing rules that can tolerate a certain level of uncertainty in the environment.…”

Section: Introductionmentioning

confidence: 99%

“…In engineering, crosstalk estimation is often performed on necessary wires without an in‐depth study of many other wires' parameters. There are a few design parameters that have a significant impact on the crosstalk between wires, and EMC engineers can change them based on essential design rules 27,28 . Therefore, exploring wire routing rules that consider the uncertainty of neighboring wires 29 to solve EMC problems rather than making customized designs for a particular pair of wires is crucial.…”

Section: Introductionmentioning

confidence: 99%

Multi‐conductor electromagnetic coupling model for sensitive wires subject to driven wire in complex electronic systems

Jiang,

Chen,

Xue

et al. 2024

A novel multi‐conductor electromagnetic coupling model for the sensitive‐wire subject to driven wire in a high‐precision machining workbench is proposed in this paper. The general coupling model for an N‐wire system is derived and is used to evaluate the wire coupling effect. Furthermore, 4‐wire and 3‐wire models are demonstrated to verify the accuracy through full‐wave electromagnetic simulation below 10 MHz. The results show that the error between the proposed method and the full‐wave electromagnetic simulation is less than 10%, demonstrating the high efficiency and accuracy of the proposed method. When the parameters of the driven power wire and the most sensitive wire are fixed and the parameters of neighboring wires are swept, the maximum fluctuation of the induced current on the most sensitive wire is 6.1 dB. The efficient calculation method proposed in this work helps reduce the risk of electromagnetic interference in complex electronic systems and improves the design efficiency of wires. It is promising to become a high‐performance method with high efficiency and precision.

Guest editorial for the special issue on “Artificial intelligence and machine learning based approaches for modeling and design of electronic devices, circuits, and systems”

Cai,

2024

The increasing complexity of wireless communication systems coupled with shorter design cycles has increased the need for modeling and design methodologies that are both accurate and fast. It is, however, extremely difficult to meet these contradictory requirements using conventional computer-aided design (CAD). Over the past few decades, artificial intelligence (AI) and machine learning (ML) techniques have gained popularity in the RF and microwave community and are increasingly being used. Particularly in recent years, there has been an increase in the use of AI and ML methods for the modeling and design of wireless devices, circuits, and systems, including active device modeling, power amplifier modeling and digital predistortion, passive circuit design and optimization, active circuit design and optimization, wireless power transfer, wireless systems design and optimization and more.The special issue contains 25 papers that address a variety of topics including AI and ML based device modeling, circuit design and optimization, circuit modeling and digital predistortion, and so forth. Several outstanding contributions to modeling and characterization of electronic devices based on AI and traditional techniques are given. [1][2][3][4] Additionally, RF circuit design can benefit from AI and ML techniques, including active circuit design, such as PAs 5-9 and LNA, 10,11 and passive circuit design, such as filters. 12 The use of AI methods has also been extended to the modeling and predistortion of dynamic characteristic of circuits and systems, for example, RF PA modeling, [13][14][15] digital predistortion of high frequency transmitters, 16 suppressing nonlinearity in circuits, 17,18 and analyzing circuit crosstalk and phased array errors. 19,20 Furthermore, AI methods can also be used to detect circuit defects and cracks. 21,22 Along with the aforementioned topics, AI and machine learning methods are applied to organic transistors, solar cells, and digital circuit design. [23][24][25] From the device level up to the system level, this special issue explores the different branches of knowledge that relate to AI and ML for the modeling and design of wireless devices, circuits, and systems. It is our intention to provide a comprehensive overview of these topics from the reader's point of view as well as useful hints for overcoming the technological challenges of the future.As Guest Editors, we would like to express our gratitude to Prof. Giovanni Crupi (Editor-in-Chief of Int J Numer Model) for facilitating this special issue. In addition, we would like to thank all authors for their high-quality contributions, as well as all reviewers who took the time and effort to examine the submissions carefully. Readers of the journal will find the presented works of interest, and we hope that this special issue will contribute to raising awareness and popularizing AI and ML techniques as valuable methodologies for the modeling and designing of electronic devices, circuits, and systems.