Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/106586
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Mechanical Engineering | - |
dc.creator | Rubio Hervas, J | en_US |
dc.creator | Reyhanoglu, M | en_US |
dc.creator | Tang, H | en_US |
dc.creator | Kayacan, E | en_US |
dc.date.accessioned | 2024-05-09T00:54:28Z | - |
dc.date.available | 2024-05-09T00:54:28Z | - |
dc.identifier.issn | 1007-5704 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/106586 | - |
dc.language.iso | en | en_US |
dc.publisher | Elsevier BV | en_US |
dc.rights | © 2015 Elsevier B.V. All rights reserved. | en_US |
dc.rights | © 2015. 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 Hervas, J. R., Reyhanoglu, M., Tang, H., & Kayacan, E. (2016). Nonlinear control of fixed-wing UAVs in presence of stochastic winds. Communications in Nonlinear Science and Numerical Simulation, 33, 57-69 is available at https://doi.org/10.1016/j.cnsns.2015.08.026. | en_US |
dc.subject | Extended Kalman filter | en_US |
dc.subject | Nonlinear control | en_US |
dc.subject | State estimation | en_US |
dc.title | Nonlinear control of fixed-wing UAVs in presence of stochastic winds | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 57 | en_US |
dc.identifier.epage | 69 | en_US |
dc.identifier.volume | 33 | en_US |
dc.identifier.doi | 10.1016/j.cnsns.2015.08.026 | en_US |
dcterms.abstract | This paper studies the control of fixed-wing unmanned aerial vehicles (UAVs) in the presence of stochastic winds. A nonlinear controller is designed based on a full nonlinear mathematical model that includes the stochastic wind effects. The air velocity is controlled exclusively using the position of the throttle, and the rest of the dynamics are controlled with the aileron, elevator, and rudder deflections. The nonlinear control design is based on a smooth approximation of a sliding mode controller. An extended Kalman filter (EKF) is proposed for the state estimation and filtering. A case study is presented: landing control of a UAV on a ship deck in the presence of wind based exclusively on LADAR measurements. The effectiveness of the nonlinear control algorithm is illustrated through a simulation example. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Communications in nonlinear science and numerical simulation, Apr. 2016, v. 33, p. 57-69 | en_US |
dcterms.isPartOf | Communications in nonlinear science and numerical simulation | en_US |
dcterms.issued | 2016-04 | - |
dc.identifier.scopus | 2-s2.0-84946130453 | - |
dc.description.validate | 202405 bcch | - |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | ME-1088 | - |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | Nanyang Technological University | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 6590183 | - |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
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Tang_Nonlinear_Control_Fixed-Wing.pdf | Pre-Published version | 914.74 kB | Adobe PDF | View/Open |
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