Fuzzy control of quadrotor Ar. Drone 2.0 in a controlled environment
| dc.contributor.author | Campos Archila, Fernando | spa |
| dc.contributor.author | Pinzón Saavedra, Valentina | spa |
| dc.contributor.author | Robayo Betancourt, Faiber | spa |
| dc.date | 2019-02-05 | |
| dc.date.accessioned | 2019-09-19T21:53:53Z | |
| dc.date.available | 2019-09-19T21:53:53Z | |
| dc.description | This paper aims to describe the design and implementation of the height control system for the quadrotor AR. Drone 2.0 making use of a fuzzy logic in a previously established environment. This device has a height control system both in simulation and in the real platform. Three controllers are developed by fuzzy logic whose parameters are obtained from the drone's sensors in such a way that it allows to control height and angles of orientation (Pitch, Roll and Yaw) as long as certain levels of battery charge are considered so that the system does not become unstable. For the visualization and interaction with the drone a Matlab® interface is designed and implemented, that allows communication between the user and all system functions in such a way that the mode of execution can be chosen, follow the reference parameters autonomously, store data for a later analysis, and visualize the displacements to observe the efficiency of system. | en-US |
| dc.description | Este trabajo muestra el control de altura del quadrotor AR. Drone 2.0 aplicando lógica difusa en un ambiente previamente establecido, tanto en simulación como en la plataforma real. Se desarrollan tres controladores mediante lógica difusa cuyos parámetros son obtenidos de los sensores del dron, permitiéndose controlar altura y ángulos de orientación (Pitch, Roll y Yaw) siempre y cuando se consideren ciertos niveles de carga de batería para que el sistema no se vuelva inestable. Para la visualización e interacción con el dron se diseña e implementa una interfaz en Matlab® que permite la comunicación entre el usuario y todas las funciones del sistema, de tal manera que se puede elegir el modo de ejecución, seguir los parámetros de referencia de manera autónoma, almacenar datos para un posterior análisis, y visualizar los desplazamientos para determinar la eficiencia del sistema. | es-ES |
| dc.format | application/pdf | |
| dc.identifier | https://revistas.udistrital.edu.co/index.php/visele/article/view/14406 | |
| dc.identifier | 10.14483/22484728.14406 | |
| dc.identifier.uri | http://hdl.handle.net/11349/22016 | |
| dc.language | eng | |
| dc.publisher | Universidad Distrital Francisco José de Caldas | es-ES |
| dc.relation | https://revistas.udistrital.edu.co/index.php/visele/article/view/14406/14569 | |
| dc.rights | Derechos de autor 2019 https://creativecommons.org/licenses/by-nc/4.0 | es-ES |
| dc.rights | https://creativecommons.org/licenses/by-nc/4.0 | es-ES |
| dc.source | Visión electrónica; Vol 13 No 1 (2019); 39-49 | en-US |
| dc.source | Visión electrónica; Vol. 13 Núm. 1 (2019); 39-49 | es-ES |
| dc.source | 2248-4728 | |
| dc.source | 1909-9746 | |
| dc.subject | AR. Drone 2.0 | en-US |
| dc.subject | Fuzzy logic | en-US |
| dc.subject | Height control | en-US |
| dc.subject | Matlab® | en-US |
| dc.subject | AR. Drone 2.0 | es-ES |
| dc.subject | Lógica difusa | es-ES |
| dc.subject | Control de altura | es-ES |
| dc.subject | Matlab® | es-ES |
| dc.title | Fuzzy control of quadrotor Ar. Drone 2.0 in a controlled environment | en-US |
| dc.title | Control difuso del quadrotor Ar. Drone 2.0 en un ambiente controlado | es-ES |
| dc.type | info:eu-repo/semantics/article | |
| dc.type | info:eu-repo/semantics/publishedVersion | |
| dc.type.coar | http://purl.org/coar/resource_type/c_6501 |