42 research outputs found

    Mutations designed to modify the NS gene mRNA secondary structure affect influenza A pathogenicity in vivo

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    The influenza A virus genome consists of eight segments of negative-sense RNA that encode up to 18 proteins. During the process of viral replication, positive-sense (+)RNA (cRNA) or messenger RNA (mRNA) is synthesized. Today, there is only a partial understanding of the function of several secondary structures within vRNA and cRNA promoters, and splice sites in the M and NS genes. The most precise secondary structure of (+)RNA has been determined for the NS segment of influenza A virus. Β The influenza A virus NS gene features two regions with a conserved mRNA secondary structure located near splice sites. Here, we compared 4 variants of the A/Puerto Rico/8/1934 strain featuring different combinations of secondary structures at the NS segment (+)RNA regions 82-148 and 497-564. We found that RNA structures did not affect viral replication in cell culture. However, one of the viruses demonstrated lower NS1 and NEP expression levels during early stage cell infection as well as reduced pathogenicity in mice compared to other variants. In particular, this virus is characterized by an RNA hairpin in the 82-148 region and a stable hairpin in the 497-564 region.The influenza A virus genome consists of eight segments of negative-sense RNA that encode up to 18 proteins. During the process of viral replication, positive-sense (+)RNA (cRNA) or messenger RNA (mRNA) is synthesized. Today, there is only a partial understanding of the function of several secondary structures within vRNA and cRNA promoters, and splice sites in the M and NS genes. The most precise secondary structure of (+)RNA has been determined for the NS segment of influenza A virus. Β The influenza A virus NS gene features two regions with a conserved mRNA secondary structure located near splice sites. Here, we compared 4 variants of the A/Puerto Rico/8/1934 strain featuring different combinations of secondary structures at the NS segment (+)RNA regions 82-148 and 497-564. We found that RNA structures did not affect viral replication in cell culture. However, one of the viruses demonstrated lower NS1 and NEP expression levels during early stage cell infection as well as reduced pathogenicity in mice compared to other variants. In particular, this virus is characterized by an RNA hairpin in the 82-148 region and a stable hairpin in the 497-564 region

    Radioactive elements in the environment

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    Indicated role of natural radioactive elements (U, Th) in geospherical layers and various environmental components is discussed. Induced radionuclide problems are examine

    Π Π°ΡΠΏΡ€ΠΎΡΡ‚Ρ€Π°Π½Π΅Π½Π½ΠΎΡΡ‚ΡŒ Π±Ρ€ΠΎΠ½Ρ…ΠΈΠ°Π»ΡŒΠ½ΠΎΠΉ астмы срСди взрослого насСлСния Π³. Вомска

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    The aim of this study was to estimate prevalence of asthma in adults at industrial city Tomsk. A total of 2000 responders aged 18 to 75 yrs participated in the study. Prevalence of asthma-like symptoms was estimated using the standardized questionnaire ECRHS. Two hundred patients with asthma-like symptoms underwent clinical, functional, and allergological examination. Asthma-like symptoms were revealed in 37.8 % of the studied population. Prevalence of asthma was 9.8 %. These findings significantly exceed official data. Asthma was newly diagnosed in 60 % of symptomatic adults that is evidence of late detection of the disease.ЦСль Π΄Π°Π½Π½ΠΎΠ³ΠΎ исслСдования – ΠΈΠ·ΡƒΡ‡ΠΈΡ‚ΡŒ Ρ€Π°ΡΠΏΡ€ΠΎΡΡ‚Ρ€Π°Π½Π΅Π½Π½ΠΎΡΡ‚ΡŒ Π±Ρ€ΠΎΠ½Ρ…ΠΈΠ°Π»ΡŒΠ½ΠΎΠΉ астмы (БА) Ρƒ взрослого насСлСния Π² ΠΏΡ€ΠΎΠΌΡ‹ΡˆΠ»Π΅Π½Π½ΠΎΠΌ Π³ΠΎΡ€ΠΎΠ΄Π΅ ВомскС. На 1-ΠΌ этапС проводился Π°Π½ΠΊΠ΅Ρ‚Π½Ρ‹ΠΉ скрининг 2 000 Ρ‡Π΅Π»ΠΎΠ²Π΅ΠΊ Π² возрастС ΠΎΡ‚ 18 Π΄ΠΎ 75 Π»Π΅Ρ‚ с использованиСм вопросника ECRHS. На 2-ΠΌ этапС ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΎΡΡŒ клиничСскоС, Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ΅ ΠΈ аллСргологичСскоС обслСдованиС ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с астмоподобными симптомами. АстмоподобныС симптомы выявлСны Ρƒ 37,8 % Ρ‡Π΅Π»ΠΎΠ²Π΅ΠΊ. Π Π°ΡΠΏΡ€ΠΎΡΡ‚Ρ€Π°Π½Π΅Π½Π½ΠΎΡΡ‚ΡŒ БА составила 9,8 %, Ρ‡Ρ‚ΠΎ Π·Π½Π°Ρ‡ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎ ΠΏΡ€Π΅Π²Ρ‹ΡˆΠ°Π΅Ρ‚ Π΄Π°Π½Π½Ρ‹Π΅ ΠΎΡ„ΠΈΡ†ΠΈΠ°Π»ΡŒΠ½ΠΎΠΉ статистики. Π’ΠΏΠ΅Ρ€Π²Ρ‹Π΅ выявлСнная БА Π±Ρ‹Π»Π° диагностирована Π² 60 % случаСв. ΠŸΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΠΈ распространСнности БА, установлСнныС Π² Ρ…ΠΎΠ΄Π΅ эпидСмиологичСского исслСдования, Π·Π½Π°Ρ‡ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎ прСвосходят Π΄Π°Π½Π½Ρ‹Π΅ ΠΎΡ„ΠΈΡ†ΠΈΠ°Π»ΡŒΠ½ΠΎΠΉ статистики, Ρ‡Ρ‚ΠΎ ΡΠ²ΠΈΠ΄Π΅Ρ‚Π΅Π»ΡŒΡΡ‚Π²ΡƒΠ΅Ρ‚ ΠΎ ΠΏΠΎΠ·Π΄Π½Π΅ΠΉ диагностикС БА Π² ΠΎΠ±Ρ‰Π΅ΠΉ Π»Π΅Ρ‡Π΅Π±Π½ΠΎΠΉ сСти Π³. Вомска

    ЭпидСмиологичСскиС ΠΈ клиничСскиС характСристики острых рСспираторных ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΉ Π² Π‘Π°Π½ΠΊΡ‚-ΠŸΠ΅Ρ‚Π΅Ρ€Π±ΡƒΡ€Π³Π΅ Π² эпидСмичСскиС сСзоны 2017–2018 Π³Π³. ΠΈ 2018–2019 Π³Π³.

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    Objective: to analyze the epidemiological and clinical features of acute respiratory infections occurring during the St. Petersburg 2017–2018 and 2018–2019 epidemic seasons.Materials and methods: the study included 457 patients, treated in St. Petersburg clinics from 2017–2019, displaying symptoms of acute respiratory infection (ARI), including evaluation of their clinical histories. Pathogen types were determined by polymerase chain reaction (PCR). Data analysis was carried out using mathematical statistics methods using the Statistica 10 software package (StatSoft Inc.).Results: in this study, we examined the epidemiological and clinical features of acute respiratory infections in St. Petersburg occurring during two epidemic seasons, 2017–2018 and 2018–2019. The 2017–2018 season was characterized by a prevalence of infections caused by influenza B viruses and influenza A subtype H3N2 viruses. In the 2018–2019 season, there was a greater number of acute respiratory viral infections (ARVIs) and infections caused by influenza A subtype H1N1pdm; influenza B virus was detected only in isolated cases. In the 2017–2018 sore throats and muscle aches were a characteristic symptom of influenza A H1N1pdm infections, of bacterial infections – only sore throats. It was shown that throat pain and vasodilation of the scleral and soft palate vessels were significantly more frequent in the 2017–2018 season, compared to the 2018–2019 season. Cough and redness of the posterior pharyngeal wall were hallmark signs of ARVIs in the 2018–2019 season.Conclusion: according to the data, each epidemic season is characterized not only by its own type-specific acute respiratory infection frequencies, but also by different clinical manifestation frequencies. For global monitoring, treatment effectiveness evaluation, and refined study of acute respiratory infection clinical features, it is advisable to use approaches which incorporate accurate, specific, and rapid molecular biological methods capable of identifying a broad range of pathogens. ЦСль: ΡΡ€Π°Π²Π½ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹ΠΉ Π°Π½Π°Π»ΠΈΠ· эпидСмиологичСских Π΄Π°Π½Π½Ρ‹Ρ… ΠΈ клиничСских характСристик тСчСния острых рСспираторных ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΉ Ρƒ Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… Π² Π‘Π°Π½ΠΊΡ‚-ΠŸΠ΅Ρ‚Π΅Ρ€Π±ΡƒΡ€Π³Π΅ Π² эпидСмичСскиС сСзоны 2017–2018 Π³Π³. ΠΈ 2018–2019 Π³Π³.ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Ρ‹ ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹: Π² исслСдованиС Π²ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΎ 457 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ², Π½Π°Ρ…ΠΎΠ΄ΠΈΠ²ΡˆΠΈΡ…ΡΡ Π½Π° Π»Π΅Ρ‡Π΅Π½ΠΈΠΈ Π² ΠΊΠ»ΠΈΠ½ΠΈΠΊΠ°Ρ… Π‘Π°Π½ΠΊΡ‚-ΠŸΠ΅Ρ‚Π΅Ρ€Π±ΡƒΡ€Π³Π° Π² 2017–2019 Π³Π³., с симптомами острых рСспираторных ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΉ, ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½ Π°Π½Π°Π»ΠΈΠ· эпидСмиологичСских Π΄Π°Π½Π½Ρ‹Ρ… ΠΈ клиничСских характСристик тСчСния заболСвания. ΠœΠ΅Ρ‚ΠΎΠ΄ΠΎΠΌ ΠΏΠΎΠ»ΠΈΠΌΠ΅Ρ€Π°Π·Π½ΠΎΠΉ Ρ†Π΅ΠΏΠ½ΠΎΠΉ Ρ€Π΅Π°ΠΊΡ†ΠΈΠΈ ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½ Π²ΠΈΠ΄ ΠΏΠ°Ρ‚ΠΎΠ³Π΅Π½Π°. БтатистичСский Π°Π½Π°Π»ΠΈΠ· ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½ с использованиСм ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² матСматичСской статистики ΠΏΡ€ΠΈ ΠΏΠΎΠΌΠΎΡ‰ΠΈ ΠΏΠ°ΠΊΠ΅Ρ‚Π° Statistica 10, StatSoft Inc.Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. Π’ сСзон 2017–2018 Π³Π³. Π±Ρ‹Π»ΠΎ Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€Π½ΠΎ ΠΏΡ€Π΅Π²Π°Π»ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΉ, Π²Ρ‹Π·Π²Π°Π½Π½Ρ‹Ρ… вирусами Π³Ρ€ΠΈΠΏΠΏΠ° Π’ ΠΈ А (H3N2). Π’ сСзонС 2018–2019 Π³Π³. Π±Ρ‹Π»ΠΎ ΠΎΡ‚ΠΌΠ΅Ρ‡Π΅Π½ΠΎ большСС число случаСв острых рСспираторных вирусных ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΉ, Π² Ρ‚ΠΎΠΌ числС Π³Ρ€ΠΈΠΏΠΏΠ°, Π²Ρ‹Π·Π²Π°Π½Π½ΠΎΠ³ΠΎ вирусом Π³Ρ€ΠΈΠΏΠΏΠ° А (H1N1pdm); вирус Π³Ρ€ΠΈΠΏΠΏΠ° Π’ рСгистрировали Π² Π΅Π΄ΠΈΠ½ΠΈΡ‡Π½Ρ‹Ρ… случаях. Π₯Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€Π½Ρ‹ΠΌ симптомом Π² сСзонС 2017–2018 Π³Π³. для Π³Ρ€ΠΈΠΏΠΏΠ° А (H1N1pdm) Π±Ρ‹Π»ΠΈ ΠΌΡ‹ΡˆΠ΅Ρ‡Π½Ρ‹Π΅ Π±ΠΎΠ»ΠΈ ΠΈ Π±ΠΎΠ»ΠΈ Π² Π³ΠΎΡ€Π»Π΅, для Π±Π°ΠΊΡ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½Ρ‹Ρ… ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΉ – Ρ‚Π°ΠΊΠΆΠ΅ Π±ΠΎΠ»ΠΈ Π² Π³ΠΎΡ€Π»Π΅. Π‘ΠΎΠ»ΠΈ Π² Π³ΠΎΡ€Π»Π΅ ΠΈ ΠΈΠ½ΡŠΠ΅ΠΊΡ†ΠΈΠΈ сосудов склСр ΠΈ мягкого Π½Π΅Π±Π° достовСрно Ρ‡Π°Ρ‰Π΅ Π±Ρ‹Π»ΠΈ ΠΎΡ‚ΠΌΠ΅Ρ‡Π΅Π½Ρ‹ Π² сСзонС 2017–2018 Π³Π³. ΠΏΠΎ ΡΡ€Π°Π²Π½Π΅Π½ΠΈΡŽ с сСзоном 2018–2019 Π³Π³. КашСль ΠΈ гипСрСмия Π·Π°Π΄Π½Π΅ΠΉ стСнки Π³Π»ΠΎΡ‚ΠΊΠΈ Π±Ρ‹Π»ΠΈ Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€Π½Ρ‹ΠΌΠΈ симптомами для ΠžΠ Π’Π˜ Π² сСзонС 2018–2019 Π³Π³.Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅: рассмотрСнныС Π΄Π²Π° эпидСмичСских сСзона Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€ΠΈΠ·ΠΎΠ²Π°Π»ΠΈΡΡŒ Π½Π΅ Ρ‚ΠΎΠ»ΡŒΠΊΠΎ Ρ€Π°Π·Π»ΠΈΡ‡Π½ΠΎΠΉ частотой острых рСспираторных ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΉ, Π½ΠΎ ΠΈ Ρ€Π°Π·Π»ΠΈΡ‡Π½ΠΎΠΉ частотой ΠΈΡ… клиничСских проявлСний. Для глобального ΠΌΠΎΠ½ΠΈΡ‚ΠΎΡ€ΠΈΠ½Π³Π°, ΠΎΡ†Π΅Π½ΠΊΠΈ эффСктивности лСчСния ΠΈ Π±ΠΎΠ»Π΅Π΅ Π΄Π΅Ρ‚Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ изучСния клиничСских особСнностСй острых рСспираторных ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΉ цСлСсообразно ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΠΎΠ²Π°Ρ‚ΡŒ Ρ‚ΠΎΡ‡Π½Ρ‹Π΅, спСцифичныС ΠΈ быстрыС молСкулярно-биологичСскиС ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹ с большим количСством опрСдСляСмых ΠΏΠ°Ρ‚ΠΎΠ³Π΅Π½ΠΎΠ².

    Features of Students’ Attributional Style

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    Attributional style or explanatory style is a cognitive personal feature reflecting a standard specific way of explaining the reasons of events in which people are involved. This concept is key in M. Seligman’s theory of learned helplessness and depression. M. Seligman and his followers experimentally proved that the person becomes helpless in case he is convinced that nothing depends on his active actions, that evil events happen accidentally, and it is impossible to change them. The paper describes features of attributional style of junior students and provides recommendations on overcoming its negative consequences

    Epidemiological and clinical features of acute respiratory infections occurring in St. Petersburg during the 2017–2018 and 2018–2019 epidemic seasons

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    Objective: to analyze the epidemiological and clinical features of acute respiratory infections occurring during the St. Petersburg 2017–2018 and 2018–2019 epidemic seasons.Materials and methods: the study included 457 patients, treated in St. Petersburg clinics from 2017–2019, displaying symptoms of acute respiratory infection (ARI), including evaluation of their clinical histories. Pathogen types were determined by polymerase chain reaction (PCR). Data analysis was carried out using mathematical statistics methods using the Statistica 10 software package (StatSoft Inc.).Results: in this study, we examined the epidemiological and clinical features of acute respiratory infections in St. Petersburg occurring during two epidemic seasons, 2017–2018 and 2018–2019. The 2017–2018 season was characterized by a prevalence of infections caused by influenza B viruses and influenza A subtype H3N2 viruses. In the 2018–2019 season, there was a greater number of acute respiratory viral infections (ARVIs) and infections caused by influenza A subtype H1N1pdm; influenza B virus was detected only in isolated cases. In the 2017–2018 sore throats and muscle aches were a characteristic symptom of influenza A H1N1pdm infections, of bacterial infections – only sore throats. It was shown that throat pain and vasodilation of the scleral and soft palate vessels were significantly more frequent in the 2017–2018 season, compared to the 2018–2019 season. Cough and redness of the posterior pharyngeal wall were hallmark signs of ARVIs in the 2018–2019 season.Conclusion: according to the data, each epidemic season is characterized not only by its own type-specific acute respiratory infection frequencies, but also by different clinical manifestation frequencies. For global monitoring, treatment effectiveness evaluation, and refined study of acute respiratory infection clinical features, it is advisable to use approaches which incorporate accurate, specific, and rapid molecular biological methods capable of identifying a broad range of pathogens

    Accuracy research of microsatellite orientation definition by means of interactive orientation system computer model

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    ΠŸΡ€Π΅Π΄ΡΡ‚Π°Π²Π»Π΅Π½Ρ– Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΈ Π΄ΠΎΡΠ»Ρ–Π΄ΠΆΠ΅Π½ΡŒ точності визначСння ΠΎΡ€Ρ–Ρ”Π½Ρ‚Π°Ρ†Ρ–Ρ— мікросупутника, Π·Π° допомогою Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΡƒ TRIAD. Для Π²ΠΈΡ€Ρ–ΡˆΠ΅Π½Π½Ρ Π΄Π°Π½ΠΎΡ— Π·Π°Π΄Π°Ρ‡Ρ–, Ρ€ΠΎΠ·Ρ€ΠΎΠ±Π»Π΅Π½Π° Ρ– Ρ€Π΅Π°Π»Ρ–Π·ΠΎΠ²Π°Π½Π° Ρ–Π½Ρ‚Π΅Ρ€Π°ΠΊΡ‚ΠΈΠ²Π½Π° ΠΊΠΎΠΌΠΏ'ΡŽΡ‚Π΅Ρ€Π½Π° модСль систСми ΠΎΡ€Ρ–Ρ”Π½Ρ‚Π°Ρ†Ρ–Ρ— мікросупутника (МБ), яка дозволяє Π² Π΄Ρ–Π°Π»ΠΎΠ³ΠΎΠ²ΠΎΠΌΡƒ Ρ€Π΅ΠΆΠΈΠΌΡ– дослідТувати Π²ΠΏΠ»ΠΈΠ² Ρ–Π½ΡΡ‚Ρ€ΡƒΠΌΠ΅Π½Ρ‚Π°Π»ΡŒΠ½ΠΈΡ… ΠΏΠΎΡ…ΠΈΠ±ΠΎΠΊ Π²ΠΈΠΌΡ–Ρ€ΡŽΠ²Π°Ρ‡Ρ–Π² Π½Π° Ρ‚ΠΎΡ‡Π½Ρ–ΡΡ‚ΡŒ систСми ΠΎΡ€Ρ–Ρ”Π½Ρ‚Π°Ρ†Ρ–Ρ— МБ.Results of orientation definition precision research of a satellite due to TRIAD algorithm are described in this article. Investigation was conducted at referenced maximal admissible meanings of measurement unit errors and also elucidated vectors coordinate displacement in dependence of microsatellite orientation angles initial values at which the greatest errors of determining orientation angles could have place. Findings of performed researches will give an opportunity of orientation angles definition accuracy increasing of a spacecraft. Investigation of orientation accuracy is considered to be a quite cumbersome and time consuming challenge so as a consequence for resolving this problem interactive computer model of microsatellite orientation system was developed and created including a special tab for orientation angles accuracy studying of microsatellite by means of TRIAD algorithm. Interactive computer model allows in dialog mode to consider measurement unit instrumental errors effect on orientation system accuracy of microsatellite. Satellite dynamic features also are built into this model which makes possible to analyze precision of satellite orientation system in whole. It is easy to change algorithm of orientation determining, for instance, to QUEST algorithm. In its turn it helps estimate one more important task – to compare different algorithm efficiency of satellite orientation.ΠŸΡ€Π΅Π΄ΡΡ‚Π°Π²Π»Π΅Π½Ρ‹ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ исслСдований точности опрСдСлСния ΠΎΡ€ΠΈΠ΅Π½Ρ‚Π°Ρ†ΠΈΠΈ микроспутника, ΠΏΡ€ΠΈ ΠΏΠΎΠΌΠΎΡ‰ΠΈ Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠ° TRIAD. Для Ρ€Π΅ΡˆΠ΅Π½ΠΈΡ Π΄Π°Π½Π½ΠΎΠΉ Π·Π°Π΄Π°Ρ‡ΠΈ, Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚Π°Π½Π° ΠΈ Ρ€Π΅Π°Π»ΠΈΠ·ΠΎΠ²Π°Π½Π° интСрактивная ΠΊΠΎΠΌΠΏΡŒΡŽΡ‚Π΅Ρ€Π½Π°Ρ модСль систСмы ΠΎΡ€ΠΈΠ΅Π½Ρ‚Π°Ρ†ΠΈΠΈ микроспутник (МБ), которая позволяСт Π² Π΄ΠΈΠ°Π»ΠΎΠ³ΠΎΠ²ΠΎΠΌ Ρ€Π΅ΠΆΠΈΠΌΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Ρ‚ΡŒ влияниС ΠΈΠ½ΡΡ‚Ρ€ΡƒΠΌΠ΅Π½Ρ‚Π°Π»ΡŒΠ½Ρ‹Ρ… ΠΏΠΎΠ³Ρ€Π΅ΡˆΠ½ΠΎΡΡ‚Π΅ΠΉ ΠΈΠ·ΠΌΠ΅Ρ€ΠΈΡ‚Π΅Π»Π΅ΠΉ Π½Π° Ρ‚ΠΎΡ‡Π½ΠΎΡΡ‚ΡŒ систСмы ΠΎΡ€ΠΈΠ΅Π½Ρ‚Π°Ρ†ΠΈΠΈ МБ

    Synthesis of a Fractional-order PIΞ»DΞΌ-controller for a Closed System of Switched Reluctance Motor Control

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    The relevance of creating high-quality control systems for electric drives with a switched reluctance motor (SRM) was substantiated. Using methods of mathematical modeling, transient characteristics of the process of turn-on of SRMs with various moments of inertia were obtained. Based on analysis of the obtained transient characteristics, features of the SRM turn-on process determined by dynamic change of parameters of the SRM during its turn-on were shown.Low accuracy of SRM identification using a fractionally rational function of rat34 class was shown. Regression coefficient of the resulting model was 85 %. Based on analysis of transient characteristics of the SRM turn-on process, a hypothesis was put forward about the possibility of identifying the SRM by means of a fractional-order transfer function. Using the methods of mathematical modeling, transient characteristics of the process of turning-on the SRMs with various moments of inertia were obtained. Using the FOMCON MATLAB Toolbox, identification of the SRM turn-on process with the help of a fractional-order transfer function of second order was performed. Regression coefficient of the resulting model was 93–96 %.For the obtained fractional-order transfer functions, a method of synthesis of a fractional-order PIΞ»DΞΌ controller optimized in terms of minimum integral square error of the transition function of the closed system of fractional-order control of objects was implemented. The FOMCON MATLAB Toolbox was used for synthesis of the PIΞ»DΞΌ controller.Comparative analysis of the SRM turn-on processes in both open and closed control systems with a classical integer-order PID controller and with a fractional-order PIΞ»DΞΌ controller was made. Use of the fractional-order PIΞ»DΞΌ controller in comparison with the classical integer-order regulator makes it possible to reduce overshoot from 13.3 % to 2.64 %, increase speed of the closed ACS, decrease regulation time from 1.48 s to 0.53 s while reducing variability of transient characteristics. The study results can be used to improve performance of closed systems for controlling angular velocity of the SR
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