{"title":"基于时域方法的水工管道系统分数阶辨识","authors":"Gharab Saddam, V. F. Batlle, Juan Carlos Cambera","doi":"10.17979/SPUDC.9788497497565.0688","DOIUrl":null,"url":null,"abstract":"This paper discusses the identification of hydraulic canal system with a fractional-order model. The identification procedure is carried out by using a time domain technique. A pseudorandom binary signal (PRBS) is considered, the auto-correlation of the input signal, as well as, the impulsive response of the system has been concluded, and the obtained model are discussed in order to show the effect of using the PRBS signal in comparison with a fundamental step signal. Finally, we put the accent into the improvisation of the fractional-order model of the considered prototype that has a significant impact on improving the performance of canal monitoring, control, and supervisory systems.","PeriodicalId":444871,"journal":{"name":"Actas de las XXXIX Jornadas de Automática, Badajoz, 5-7 de septiembre de 2018","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fractional-order identification based on time domain methodology for hydraulic canal system\",\"authors\":\"Gharab Saddam, V. F. Batlle, Juan Carlos Cambera\",\"doi\":\"10.17979/SPUDC.9788497497565.0688\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper discusses the identification of hydraulic canal system with a fractional-order model. The identification procedure is carried out by using a time domain technique. A pseudorandom binary signal (PRBS) is considered, the auto-correlation of the input signal, as well as, the impulsive response of the system has been concluded, and the obtained model are discussed in order to show the effect of using the PRBS signal in comparison with a fundamental step signal. Finally, we put the accent into the improvisation of the fractional-order model of the considered prototype that has a significant impact on improving the performance of canal monitoring, control, and supervisory systems.\",\"PeriodicalId\":444871,\"journal\":{\"name\":\"Actas de las XXXIX Jornadas de Automática, Badajoz, 5-7 de septiembre de 2018\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-03-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Actas de las XXXIX Jornadas de Automática, Badajoz, 5-7 de septiembre de 2018\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17979/SPUDC.9788497497565.0688\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Actas de las XXXIX Jornadas de Automática, Badajoz, 5-7 de septiembre de 2018","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17979/SPUDC.9788497497565.0688","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fractional-order identification based on time domain methodology for hydraulic canal system
This paper discusses the identification of hydraulic canal system with a fractional-order model. The identification procedure is carried out by using a time domain technique. A pseudorandom binary signal (PRBS) is considered, the auto-correlation of the input signal, as well as, the impulsive response of the system has been concluded, and the obtained model are discussed in order to show the effect of using the PRBS signal in comparison with a fundamental step signal. Finally, we put the accent into the improvisation of the fractional-order model of the considered prototype that has a significant impact on improving the performance of canal monitoring, control, and supervisory systems.