Energy-optimal waypoint-following guidance considering autopilot dynamics

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dc.contributor.author He, Shaoming
dc.contributor.author Shin, Hyo-Sang
dc.contributor.author Tsourdos, Antonios
dc.contributor.author Lee, Chang-Hun
dc.date.accessioned 2020-02-06T19:39:15Z
dc.date.available 2020-02-06T19:39:15Z
dc.date.issued 2019-11-28
dc.identifier.citation He S, Shin H-S, Tsourdos A, Lee C-H. (2019) Energy-optimal waypoint-following guidance considering autopilot dynamics. IEEE Transactions on Aerospace and Electronic Systems, Available online 28 November 2019 en_UK
dc.identifier.issn 0018-9251
dc.identifier.uri https://doi.org/10.1109/TAES.2019.2954149
dc.identifier.uri http://dspace.lib.cranfield.ac.uk/handle/1826/15104
dc.description.abstract This paper addresses the problem of energy-optimal waypoint-following guidance for an Unmanned Aerial Vehicle with the consideration of a general autopilot dynamics model. The proposed guidance law is derived as a solution of a linear quadratic optimal control problem in conjunction with a linearized kinematics model. The algorithm developed integrates path planning and following into a single step and is able to be applied to a general waypoint-following mission. Theoretical analysis reveals that previously suggested optimal point-to-point guidance laws are special cases of the proposed approach. Nonlinear numerical simulations clearly demonstrate the effectiveness of the proposed formulations. en_UK
dc.language.iso en en_UK
dc.publisher IEEE en_UK
dc.rights Attribution 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by/4.0/ *
dc.subject Unmanned aerial vehicle en_UK
dc.subject Waypoint following en_UK
dc.subject Energy optimal en_UK
dc.subject Autopilot lag en_UK
dc.title Energy-optimal waypoint-following guidance considering autopilot dynamics en_UK
dc.type Article en_UK


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