Automatic PCB Layout Optimization of a DC-DC Converter Through Genetic Algorithm Regarding EMC Constraints

Belloumi, Wided; Bréard, Arnaud; Hajji, Omssad; Vollaire, Christian; Slama, Jaleleddine Ben Hadj

doi:10.1109/access.2021.3124935

Cited by 4 publications

(5 citation statements)

References 27 publications

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“…1 depicts the communication between a sender and a receiver, simulated using a single PCB trace with matched source and load impedances. The sender encodes the data (4 bits) into codewords of 7 bits using a Hamming code (7,4). Those codewords are sent to the receiver using a particular voltage encoding.…”

Section: Fig 1: Simulation Framework Outlinementioning

confidence: 99%

“…The Hamming code is a linear, single-error correction code capable of detecting up to two-bit errors and correcting single-bit errors [27]. This section considers the encoding and decoding scheme Hamming (7,4).…”

Section: Hamming Codementioning

confidence: 99%

“…Hamming (7,4) encodes four bits into seven bits by adding three parity bits, ensuring that the minimum Hamming distance between any two correct codewords is three. If the distance between the received word and the transmitted codeword is at least one, the Hamming code decodes it to the most likely data word.…”

Section: A Hamming Encoding and Decodingmentioning

confidence: 99%

“…One of the areas that is gaining attention is the use of Artificial intelligence (AI) techniques to predict/classify EMI [3], [4], or to address problems in electromagnetic compatibility (EMC) [5]. These techniques include using neural networks to model EMI and predict its impact on electronic systems [6], or using genetic algorithms to optimize electronic device design to improve EMC performance [7].…”

Section: Introductionmentioning

confidence: 99%

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Decision Algorithm Based on the Modified Bellman Equation to Deal With EMI-Induced Errors in Hamming-Based Communications

Gonzalez-Atienza

Vanoost

Verbeke

et al. 2023

IEEE Trans. Electromagn. Compat.

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This paper presents a decision-making algorithm based on a modified version of the Bellman Equation to deal with Electromagnetic Interference errors in a communication channel inside a harsh electromagnetic reverberant environment.The Bellman equation is a fundamental concept in decisionmaking problems such as Markov Decision Processes. Such processes model decision-making in situations where the outcomes are partly random and partly controlled by an agent (decisionmaker).Recent studies have implemented Markov Decision Processes as a tool for risk assessment in areas such as robotics or aviation. However, so far, no research has been reported that uses the Bellman Equation or Markov Decision Processes to deal with risks related to electromagnetic disturbances.In our study, a wired communication channel that uses Non-Return-to-Zero-Level data encoding and Hamming code for error detection and correction is disturbed. First, the packet error rate is calculated and compared with and without the proposed algorithm for different electromagnetic disturbance frequencies and bit rates. The gain is compared at different packet error rates when the algorithm's parameters (called rewards) are optimized and when these are set as random. Last, the influence of the rewards and the maximum number of resends on the algorithm's performance is also studied.

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Section: Fig 1: Simulation Framework Outlinementioning

confidence: 99%

Section: Hamming Codementioning

confidence: 99%

Section: A Hamming Encoding and Decodingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Decision Algorithm Based on the Modified Bellman Equation to Deal With EMI-Induced Errors in Hamming-Based Communications

Gonzalez-Atienza

Vanoost

Verbeke

et al. 2023

IEEE Trans. Electromagn. Compat.

View full text Add to dashboard Cite

show abstract

“…Highly accurate methods based on curve fitting approaches [4] or supply chains [5] have been recently introduced with the aim of proposing design strategies which optimize the PCB layout by minimizing parasitic effects. A strategy based on linking genetic algorithms with CAD software has been proposed in [6] in order to optimize the PCB layout of a DC-DC converter in terms of electromagnetic compatibility. The strategy is based on extracting the parasitic components and use simulated data to determine the layout which minimizes the parasitic effects.…”

Section: Introductionmentioning

confidence: 99%

Model Identification to Validate Printed Circuit Boards for Power Applications: A New Technique

et al. 2022

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The idea of using model identification techniques in order to validate the design of printed circuit boards (PCBs) is proposed in this communication. With the term identification, it is intended to obtain the mathematical model of a system from input/output data. Actually, the quality requirements of PCB systems working with power devices are highly demanded by costumers of semiconductor companies. Due to the increasing market of power devices, the topic is of wide interest. In this note, a new approach is presented. It is based on both CAD techniques, used to simulate the board, and identification techniques, mainly based on linear models, to validate the board performance in the design phase. The main results regarding the analysis of the PCB design allow to establish if the PCB CAD procedures can be improved in order to elicit the parasitic effects aiming at compensating possible nonlinearity in the systems, thus providing the customers with reliable and simple models.

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An interchangeable data structure used in automated PCB layout design and optimisation for power electronics applications

Tian

Zhang

2022

2022 IEEE Energy Conversion Congress and Exposition (ECCE)

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Automatic PCB Layout Optimization of a DC-DC Converter Through Genetic Algorithm Regarding EMC Constraints

Cited by 4 publications

References 27 publications

Decision Algorithm Based on the Modified Bellman Equation to Deal With EMI-Induced Errors in Hamming-Based Communications

Decision Algorithm Based on the Modified Bellman Equation to Deal With EMI-Induced Errors in Hamming-Based Communications

Model Identification to Validate Printed Circuit Boards for Power Applications: A New Technique

An interchangeable data structure used in automated PCB layout design and optimisation for power electronics applications

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