{"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}
引用次数: 0
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.