Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/78169
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dc.contributorDepartment of Mechanical Engineeringen_US
dc.creatorLi, Ben_US
dc.creatorZhou, Wen_US
dc.creatorSun, Jen_US
dc.creatorWen, CYen_US
dc.creatorChen, CKen_US
dc.date.accessioned2018-09-28T01:07:51Z-
dc.date.available2018-09-28T01:07:51Z-
dc.identifier.isbn9781624105289en_US
dc.identifier.urihttp://hdl.handle.net/10397/78169-
dc.language.isoenen_US
dc.publisherAmerican Institute of Aeronautics and Astronautics Inc, AIAAen_US
dc.rightsCopyright © 2018 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.en_US
dc.rightsThis is the peer reviewed version of the following article: Li, B., Zhou, W., Sun, J., Wen, C., & Chen, C. (2018). Model predictive control for path tracking of a VTOL tailsitter UAV in an HIL simulation environment. In AIAA Modeling and Simulation Technologies Conference, 8-12 January 2018, Kissimmee, United States, AIAA 2018-1919, which has been published in final form at https://doi.org/10.2514/6.2018-1919.en_US
dc.titleModel predictive control for path tracking of a VTOL tail-sitter UAV in an HIL simulation environmenten_US
dc.typeConference Paperen_US
dc.identifier.doi10.2514/6.2018-1919en_US
dcterms.abstractThis paper investigates the application of Model Predictive Control (MPC) for path tracking of a vertical takeoff and landing (VTOL) tail-sitter unmanned aerial vehicle (UAV) in hovering. In this work, the nonlinear dynamic model of a quad-rotor tail-sitter UAV including the aerodynamic effect of the wing, propellers, and slipstream was developed. The cascaded MPC controllers were then built upon linearized dynamic models. Path tracking simulations were conducted in a hardware-in-loop (HIL) environment where the UAV model and controllers were running on a PC and a flight computer independently. The simulation results show that the proposed MPC controllers are capable to perform good path tracking and the ability of disturbance rejection under limited on-board computation resource.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationAIAA Modeling and Simulation Technologies Conference, 8-12 January 2018, Kissimmee, United States, AIAA 2018-1919, Session: Modeling and Simulation of Unmanned Aerial Systemsen_US
dcterms.issued2018-
dc.identifier.scopus2-s2.0-85044369688-
dc.relation.conferenceAIAA Modeling and Simulation Technologies Conferenceen_US
dc.identifier.artnAIAA 2018-1919en_US
dc.identifier.rosgroupid2017000453-
dc.description.ros2017-2018 > Academic research: refereed > Refereed conference paperen_US
dc.description.validate201809 bcmaen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberME-0724-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextInnovation and Technology Commissionen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS9612970-
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