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Análisis del impacto técnico y económico de la aplicación de algoritmos de control basados en RL en nuevos usos de drones

dc.contributor.advisorRus Pezzi, Joaquín
dc.contributor.authorBravo Moreno, Francisco
dc.date.accessioned2024-07-30T10:51:07Z
dc.date.available2024-07-30T10:51:07Z
dc.date.issued2023
dc.identifier.citationBravo Moreno, F. (2023) Análisis del impacto técnico y económico de la aplicación de algoritmos de control basados en RL en nuevos usos de drones [Trabajo Fin de Máster, Universidad Loyola Andalucía]es
dc.identifier.urihttps://hdl.handle.net/20.500.12412/6111
dc.description.abstractThere are many new devices that the advancement of technology has brought into our daily lives. Concepts like smartphones, 5G, or drones were unknown to the general population. However, we can say that the revolution that brought these terms to the general public is already seen with some distance as we are being swept away by another technological paradigm shift, artificial intelligence. Artificial intelligence, the protagonist of countless newspaper headlines, is changing the way we use devices. It is changing the relationship that society has with machines. It is a new technological capability that has allowed for a new range of possibilities regarding what we believe machines can and can´t do. The objective of this study is to explore the possibility of implementing one of the algorithms that embodies this technology in controlling the various actuators of a quadrotor drone. It will analyse the impact it has on the operational philosophy of these systems, the challenges and problems that may arise along the way. Also it will explore the impact of integrating artificial intelligence into the drone market and the services offered with them. To achieve this, an overview of the control technology currently used in drone flight will be provided, analysing its structure and performance. This will be followed by an introduction to Reinforcement Learning, a branch of Machine Learning and it’s case for drone control. This performance improvement in the drone controlled by Reinforcement Learning will be estimated through a Python simulation, comparing the speed of achieving different objectives between a PID-controlled drone and one controlled by one of the described intelligent algorithms. The execution of these algorithms will require modifications to the hardware of the drone control systems. These requirements will be presented and analysed in other to seek for solutions. The final part of the study will introduce the current reality of the industry. It will cover the size of the drone market, its main fields of application, and the trends identified for the upcoming years, along with the key players in the industry.es
dc.language.isospaes
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleAnálisis del impacto técnico y económico de la aplicación de algoritmos de control basados en RL en nuevos usos de droneses
dc.typemasterThesises
dc.description.masterMáster Universitario en Ingeniería Industriales
dc.rights.accessRightsopenAccesses


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internacional