Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/89371
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Mechanical Engineering | - |
dc.creator | Zhou, W | en_US |
dc.creator | Li, B | en_US |
dc.creator | Sun, J | en_US |
dc.creator | Wen, CY | en_US |
dc.creator | Chen, CK | en_US |
dc.date.accessioned | 2021-03-18T03:05:16Z | - |
dc.date.available | 2021-03-18T03:05:16Z | - |
dc.identifier.issn | 0967-0661 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/89371 | - |
dc.language.iso | en | en_US |
dc.publisher | Pergamon Press | en_US |
dc.rights | © 2019 Elsevier Ltd. All rights reserved. | en US |
dc.rights | © 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/. | en US |
dc.rights | The following publication Zhou, W., Li, B., Sun, J., Wen, C.-Y., & Chen, C.-K. (2019). Position control of a tail-sitter UAV using successive linearization based model predictive control. Control Engineering Practice, 91, 104125 is available at https://dx.doi.org/10.1016/j.conengprac.2019.104125. | en US |
dc.subject | Aerodynamic | en_US |
dc.subject | Disturbance | en_US |
dc.subject | MPC | en_US |
dc.subject | Tail-sitter | en_US |
dc.subject | UAV | en_US |
dc.subject | VTOL | en_US |
dc.title | Position control of a tail-sitter UAV using successive linearization based model predictive control | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 1 | en_US |
dc.identifier.epage | 13 | en_US |
dc.identifier.volume | 91 | en_US |
dc.identifier.doi | 10.1016/j.conengprac.2019.104125 | en_US |
dcterms.abstract | A successive linearization based model predictive control (SLMPC) method is proposed to control a vertical take-off and landing (VTOL) tail-sitter unmanned aerial vehicle (UAV) in hovering flight. The dynamic model of the vehicle is derived, including a low-fidelity aerodynamic model and a propulsion system model. The position controller is developed by a state–space prediction model augmented with estimated disturbance and feedback integration terms. The time-varying weight in the objective function is included and the velocity of vehicle is considered as reference to improve the performance. The system is first tested in a software-in-loop environment followed by the real-time indoor flight tests. The results demonstrate the vehicle can precisely follow a trajectory and stably hold position under unsteady wind disturbance. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Control engineering practice, Oct. 2019, v. 91,104125, p. 1-13 | en_US |
dcterms.isPartOf | Control engineering practice | en_US |
dcterms.issued | 2019-10 | - |
dc.identifier.scopus | 2-s2.0-85071231691 | - |
dc.identifier.artn | 104125 | en_US |
dc.description.validate | 202103 bcrc | - |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | a0488-n03, a0637-n01, a0732-n01 | - |
dc.identifier.SubFormID | 651, 1299 | - |
dc.description.fundingSource | Others | - |
dc.description.fundingText | P0012592 | - |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
a0637-n01.pdf | Pre-Published version | 4.02 MB | Adobe PDF | View/Open |
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