{"title":"Cascaded Model-Free Control for trajectory tracking of quadrotors","authors":"Maria Bekcheva, C. Join, H. Mounier","doi":"10.1109/ICUAS.2018.8453339","DOIUrl":null,"url":null,"abstract":"In the subject of quadrotor controller design, usually modelling and identification are tedious and time-consuming tasks. In this study, we propose a controller design that avoids the quadrotor's system identification procedures while staying robust with respect to endogenous and exogenous disturbances. To reach our goal, based on the cascaded structure of a quadrotor, we divide the system into positional and attitude subsystems each controlled by an independent model-free controller. We validate our control approach in two realistic scenarios : in presence of unknown measurement noise and unknown time-varying wind disturbances. We provide simulations on a realistic nonlinear quadrotor model following an aggressive position-yaw trajectory.","PeriodicalId":246293,"journal":{"name":"2018 International Conference on Unmanned Aircraft Systems (ICUAS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Unmanned Aircraft Systems (ICUAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICUAS.2018.8453339","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
In the subject of quadrotor controller design, usually modelling and identification are tedious and time-consuming tasks. In this study, we propose a controller design that avoids the quadrotor's system identification procedures while staying robust with respect to endogenous and exogenous disturbances. To reach our goal, based on the cascaded structure of a quadrotor, we divide the system into positional and attitude subsystems each controlled by an independent model-free controller. We validate our control approach in two realistic scenarios : in presence of unknown measurement noise and unknown time-varying wind disturbances. We provide simulations on a realistic nonlinear quadrotor model following an aggressive position-yaw trajectory.