{"title":"两步自触发自适应风洞控制系统的研制","authors":"Shady Al-Zubi, K. Cheok, S. Sengupta","doi":"10.1109/IRIS.2017.8250144","DOIUrl":null,"url":null,"abstract":"In this paper, a systematic approach is presented and a physical experiment substantiated for a SISO wind tunnel adaptive control system. This approach includes a two-step adaptation scheme: The first comprises a triggered system identification process and the second an adapting controller system. To verify this integrated systems engineering approach, a physical wind tunnel was constructed with an axial fan and airspeed sensors. A real-time adapting system model, coupled with an adaptive control system is interfaced with the wind tunnel. The real-time data from the system in operation is analyzed and used to influence how the controller adapts through system identification techniques as well as PID tuning criteria.","PeriodicalId":213724,"journal":{"name":"2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development of a two step self-triggered adapting wind tunnel control system\",\"authors\":\"Shady Al-Zubi, K. Cheok, S. Sengupta\",\"doi\":\"10.1109/IRIS.2017.8250144\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a systematic approach is presented and a physical experiment substantiated for a SISO wind tunnel adaptive control system. This approach includes a two-step adaptation scheme: The first comprises a triggered system identification process and the second an adapting controller system. To verify this integrated systems engineering approach, a physical wind tunnel was constructed with an axial fan and airspeed sensors. A real-time adapting system model, coupled with an adaptive control system is interfaced with the wind tunnel. The real-time data from the system in operation is analyzed and used to influence how the controller adapts through system identification techniques as well as PID tuning criteria.\",\"PeriodicalId\":213724,\"journal\":{\"name\":\"2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS)\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IRIS.2017.8250144\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRIS.2017.8250144","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development of a two step self-triggered adapting wind tunnel control system
In this paper, a systematic approach is presented and a physical experiment substantiated for a SISO wind tunnel adaptive control system. This approach includes a two-step adaptation scheme: The first comprises a triggered system identification process and the second an adapting controller system. To verify this integrated systems engineering approach, a physical wind tunnel was constructed with an axial fan and airspeed sensors. A real-time adapting system model, coupled with an adaptive control system is interfaced with the wind tunnel. The real-time data from the system in operation is analyzed and used to influence how the controller adapts through system identification techniques as well as PID tuning criteria.