Optimization of ultrashort pulse duration with usage of genetic algorithms by criteria of peak voltage maximization in PCB bus

Статья в сборнике трудов конференции

Importance of a genetic algorithms (GAs) usage in investigation of an ultrashort pulse peak voltage in multiconductor structures of printed circuit boards (PCB) is highlighted. Trapezoidal ultrashort pulse propagation along the conductors of real PCB multiconductor bus was simulated. With the usage of GAs an optimization of the whole ultrashort pulse duration and severally of the rise, top and fall durations was made by criteria of peak voltage maximization in the PCB bus. The optimization was run 5 times with the following parameters: the number of chromosomes in population – 3, 5; the number of populations – 5, 10, 25, 50, 75; mutation coefficient – 0.1; crossover coefficient – 0.5. A voltage maximum which is revealed with the whole ultrashort pulse duration variation by 16% exceeds the steady state level when the whole duration is near 0.13 ns. A voltage maximum by 36% exceeding the steady state level is revealed and localized with variation of ultrashort rise, top and fall durations. A maximum crosstalk value which is 24% of steady state level is revealed and localized for this case. For the last voltage and crosstalk maximums, the whole ultrashort pulse duration is near 1 ns. A good repeatability of results is shown.

Библиографическая запись: Optimization of ultrashort pulse duration with usage of genetic algorithms by criteria of peak voltage maximization in PCB bus / R. R. Gazizov [et. al.] // 2017 Siberian symposium on data science and engineering (SSDSE) (Novosibirsk, Akademgorodok, Russia, 12–13 Apr. 2017): Conference Proceeding. – Novosibirsk: IEEE, 2017. – P. 69–73. – DOI: 10.1109/SSDSE.2017.8071967

Конференция:

• 2017 Siberian Symposium on Data Science and En-gineering (SSDSE)
• Россия, Новосибирская область, Новосибирск, 12-13 апреля 2017,
• Международная

Издательство:

Institute of Electrical and Electronics Engineers

Россия, Новосибирская область, Новосибирск