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Enabling leg-based guidance on top of waypoint-based autopilots for UAS
Authors:Xavier Prats  Eduard Santamaria  Luis Delgado  Noel Trillo  Enric Pastor
Institution:1. Psychology Department, University of Westminster, 115 New Cavendish Street, London W1W 6UW, UK;2. Psychology Department, Memory Research Group, School of Arts and Social Sciences, Queen Margaret University, Edinburgh EH21 6UU, UK;3. Psychology Department, Goldsmiths, University of London, New Cross, London SE14 6NW, UK
Abstract:This paper presents a methodology to extend the guidance functionalities of Commercial Off-The-Shelf autopilots currently available for Unmanned Aircraft Systems (UAS). Providing that most autopilots only support elemental waypoint-based guidance, this technique allows the aircraft to follow leg-based flight plans without needing to modify the internal control algorithms of the autopilot. It is discussed how to provide Direct to Fix, Track to Fix and Hold to Fix path terminators (along with Fly-Over and Fly-By waypoints) to basic autopilots able to natively execute only a limited set of legs. Preliminary results show the feasibility of the proposal with flight simulations that used a flexible and reconfigurable UAS architecture specifically designed to avoid dependencies with a single or particular autopilot solution.
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