Real-time collision avoidance trajectory planner using generalized vector explicit guidance

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dc.contributor.authorSubies Hueso, Josep
dc.contributor.authorMondal, Sabyasachi
dc.contributor.authorTsourdos, Antonios
dc.contributor.authorChadwick, Andrew
dc.date.accessioned2023-03-15T12:36:13Z
dc.date.available2023-03-15T12:36:13Z
dc.date.issued2023-01-19
dc.description.abstractIn this paper, a new real-time collision avoidance scheme is proposed using Generalized Vector Explicit Guidance (GENEX) law, an optimal guidance algorithm that can simultaneously achieve design specifications on miss distance and final UAV–target relative orientation. Low computation, closed-form expression, and optimal derivation are the key features that make it a potential candidate for real-time applications. The guidance law has been tested through simulations for the two-dimensional scenario, and the results are very satisfactory.en_UK
dc.identifier.citationSubies Hueso J, Mondal S, Tsourdos A, Chadwick A. (2023) Real-time collision avoidance trajectory planner using generalized vector explicit guidance. In: AIAA SciTech Forum 2023, 23-27 January 2023, National Harbor, Maryland, USAen_UK
dc.identifier.eisbn978-1-62410-699-6
dc.identifier.urihttps://doi.org/10.2514/6.2023-1734
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/19300
dc.language.isoenen_UK
dc.publisherAIAAen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.titleReal-time collision avoidance trajectory planner using generalized vector explicit guidanceen_UK
dc.typeConference paperen_UK

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