Sofia Hustiu, M. Lupascu, S. Popescu, A. Burlacu, M. Kloetzer
{"title":"Stable hovering architecture for nanoquadcopter applications in indoor environments","authors":"Sofia Hustiu, M. Lupascu, S. Popescu, A. Burlacu, M. Kloetzer","doi":"10.1109/ICSTCC.2018.8540759","DOIUrl":null,"url":null,"abstract":"This research aims at designing a stable hovering architecture for small size quadcopters in indoor environments. The chosen system is a Crazyflie 2.0 nanoquadcopter. First, using the Newton-Euler equations, the dynamic nonlinear model is built. This model allows for simulations and feedback controller design. Second, a 3D indoor environment was created for real-time applications. A Kinect Sensor is considered for real time position measurements, at the same time with obtaining orientations from the gyroscope of the Crazyflie. For practical implementation, a combination between Python and Matlab facilities was considered. The first prototype of the proposed architecture was evaluated for different scenarios and the experimental results are detailed and commented.","PeriodicalId":308427,"journal":{"name":"2018 22nd International Conference on System Theory, Control and Computing (ICSTCC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 22nd International Conference on System Theory, Control and Computing (ICSTCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSTCC.2018.8540759","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
This research aims at designing a stable hovering architecture for small size quadcopters in indoor environments. The chosen system is a Crazyflie 2.0 nanoquadcopter. First, using the Newton-Euler equations, the dynamic nonlinear model is built. This model allows for simulations and feedback controller design. Second, a 3D indoor environment was created for real-time applications. A Kinect Sensor is considered for real time position measurements, at the same time with obtaining orientations from the gyroscope of the Crazyflie. For practical implementation, a combination between Python and Matlab facilities was considered. The first prototype of the proposed architecture was evaluated for different scenarios and the experimental results are detailed and commented.