J. Betancourt-Vera, Pedro Castillo, Rogelio Lozano, Boris Vidolov
{"title":"Robust control scheme for trajectory generation and tracking for quadcopters vehicles: Experimental results*","authors":"J. Betancourt-Vera, Pedro Castillo, Rogelio Lozano, Boris Vidolov","doi":"10.1109/ICUAS.2018.8453482","DOIUrl":null,"url":null,"abstract":"A robust control scheme for aerial path generation and tracking is proposed in this paper. The control structure is based on the MPC - Model Predictive Control- and the UDE -Uncertainty and Disturbance Estimator - approaches. Both algorithms can be used with simple controllers for becoming more robust with respect to nonlinear uncertainties and external disturbances. The proposed scheme is applied to a quadcopter vehicle. Experimental results confirm the well performance of the closed-loop system when tracking trajectories, even in the presence of perturbations.","PeriodicalId":246293,"journal":{"name":"2018 International Conference on Unmanned Aircraft Systems (ICUAS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Unmanned Aircraft Systems (ICUAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICUAS.2018.8453482","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
A robust control scheme for aerial path generation and tracking is proposed in this paper. The control structure is based on the MPC - Model Predictive Control- and the UDE -Uncertainty and Disturbance Estimator - approaches. Both algorithms can be used with simple controllers for becoming more robust with respect to nonlinear uncertainties and external disturbances. The proposed scheme is applied to a quadcopter vehicle. Experimental results confirm the well performance of the closed-loop system when tracking trajectories, even in the presence of perturbations.