2. Maestría

Now showing 1 - 2 of 2

Studies on obstacle detection and path planning for a quadrotor system
(Pontificia Universidad Católica del Perú, 2017-11-06) Valencia Mamani, Dalthon Abel; Cuéllar Córdova, Francisco Fabián
Autonomous systems are one interesting topic recently investigated; for land and aerial vehicles; however, the main limitation of aerial vehicles is the weight to carry on-board, since the power consumed depends on this and hardware like sensors and processor is limited. The present thesis develops an application of digital image processing to detect obstacles using only a monocamera, there are some approaches but the present report wants to focus on the distance estimation approach that, in future works, can be combined with other methods since this approach is more general. The distance estimation approach uses feature detection algorithms in two consecutive images, matching them and thus estimate the obstacle position. The estimation is computed through a mathematical model of the camera and projections between those two images. There are many parameters to improve final results and the best parameters are found and tested with consecutive images, which were captured every 0.5m along a straight path of 5m. Fraunhofer position modules are tested with the entire algorithm. Finally, in order to establish the new path without obstacles, an optimal binary integer programming problem is proposed, adapting the approach using results obtained from the distance estimation and obstacle detection. Resulting data is suitable for combining them with information obtained from conventional sensors, such as ultrasonic sensors. The obtained mean error is between 1% and 12% in short distances (less than 2.5 m) and greater with longer distances. The complexity of this study lies in the use of a single camera for the capture of frontal images and obtaining 3D information of the environment, the computation of the obstacle detection algorithm is tested off-line and the path-planning algorithm is proposed with detected keypoints in the background.
Diseño de un sistema de detección y compensación de fallas eléctricas tipo islanding en smargrids
(Pontificia Universidad Católica del Perú, 2017-10-04) Paucará Prado, Jhonatan David; Sal y Rosas Celi, Damian E.
Este trabajo de tesis presenta la estructura de control de un sistema detector y compensador de fallas eléctricas de tipo corte abrupto de energía en una SmartGrid. Para la detección de la falla se ha implementado un algoritmo basado en la inyección y detección de una perturbación en la tensión de la carga. Para la compensación de la falla, el control realiza un cambio en la señal de referencia y pasa al modo desconectado de la red. Asimismo, se ha mejorado el control de frecuencia para el proceso de resincronización con la red eléctrica, una vez que ésta ha sido reestablecida. Finalmente, el inversor es reconectado a la red eléctrica y se pasa al modo conectado a la red, donde la referencia pasa a ser nuevamente la señal con perturbación. Como parte de este trabajo se han desarrollado artículos científicos, de los cuales 2 han sido aceptados en congresos internaciones (PEPQA, Colombia 2017 y CCE, México 2017) y se encuentran publicados en el IEEE Explorer.

2. Maestría

Browse

Filters

Settings

Sort By

Results per page

Search Results