Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12494/41717
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Title: Trajectory optimization of an innovative-turbofan-powered aircraft based on particle swarm approach for low environmental impact
Author: Colmenares Quintero, Ramon
Góez Sánchez, Germán David
Colmenares Quintero, Juan Carlos
Email autor: ramon.colmenaresq@campusucc.edu.co
Issue Date: 2019
Keywords: aircraft emissions
multi-objective optimization
optimal trajectory
Sustainable Development Goals
trajectory planning
Abstract: Flight route planning in civil aviation seeks to minimize the total cost of the operation while maintaining high safety standards. Therefore, the increase in the number of air routes as well as air traffic in commercial aviation poses new challenges for planning optimal routes. This work proposes a method to plan routes using a bio-inspired technique called Particle Swarm Optimization (PSO). Such method aims to obtain the shortest distance between two points, thus reducing NO X , CO 2 and H 2 O emissions. The analysis of fuel consumption and emissions was carried out using a multidisciplinary simulation tool, the Preliminary Multidisciplinary Design Framework (PMDF). The latter was applied to an aircraft with a conventional configuration powered by an innovative turbofan engine. The planner provides a new route with the shortest possible flight distance and, at the same time, considers unexpected obstacles on the route, thus minimizing fuel consumption and possible polluting emissions into the atmosphere. This is one of a series of works that will use the proposed design tool. Different economic and environmental scenarios will be evaluated once such studies are concluded. © 2019, © 2019 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license.
Type: Artículo
Citation: COLMENARES R,GÓEZ G,COLMENARES JC. Trajectory optimization of an innovative-turbofan-powered aircraft based on particle swarm approach for low environmental impact. Cogent Eng. 2019. 6. (1):p. 1-13. .
Other Identifiers: https://doi.org/10.15446/abc
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049357243&doi=10.3303%2fCET1865114&partnerID=40&md5=c5a46d75e6971014f86b8c5516d3c18d
Appears in Collections:Artículos Científicos

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