{"title":"Robust control of a three degrees of freedom aeroelastic model using an intelligent observer","authors":"L. Prabhu, J. Srinivas","doi":"10.1109/RACE.2015.7097251","DOIUrl":null,"url":null,"abstract":"A numerical investigation of instability of an aeroelastic model subjected to an external disturbance is carried out with pitch, plunge and flap motions. The uncontrolled response of a model is very dangerous and catastrophic in nature. To control the dynamics, the linear quadratic regulator (LQR) a form of feedback control methodology is used in conjunction with a neural network as a state-observer to estimate the parameters to control the model. The controller performance is studied against the conventional LQR control. Time-domain simulations are conducted near the flutter regions. Results are shown in the form of graphs and tables.","PeriodicalId":161131,"journal":{"name":"2015 International Conference on Robotics, Automation, Control and Embedded Systems (RACE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Robotics, Automation, Control and Embedded Systems (RACE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RACE.2015.7097251","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
A numerical investigation of instability of an aeroelastic model subjected to an external disturbance is carried out with pitch, plunge and flap motions. The uncontrolled response of a model is very dangerous and catastrophic in nature. To control the dynamics, the linear quadratic regulator (LQR) a form of feedback control methodology is used in conjunction with a neural network as a state-observer to estimate the parameters to control the model. The controller performance is studied against the conventional LQR control. Time-domain simulations are conducted near the flutter regions. Results are shown in the form of graphs and tables.