Unsteady Aerodynamics in Model-Based Wind Estimation from Fixed-Wing Aircraft Motion
This paper examines the value of incorporating unsteady aerodynamics in a model-based wind estimator for a small, fixed-wing aircraft and presents results of an experimental implementation. An extended Kalman filter is designed for two motion models identified from flight data: one that includes uns...
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Veröffentlicht in: | Journal of guidance, control, and dynamics control, and dynamics, 2024-08, Vol.47 (8), p.1556-1568 |
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description | This paper examines the value of incorporating unsteady aerodynamics in a model-based wind estimator for a small, fixed-wing aircraft and presents results of an experimental implementation. An extended Kalman filter is designed for two motion models identified from flight data: one that includes unsteady effects and another that does not. An air data unit with wind vanes and a Kiel probe is used to reconstruct the local wind velocity for validation. Analysis of time histories of the wind estimates and the wind estimate error relative to the reconstructed wind velocity shows that the two model-based estimators perform equally well. The power spectral densities of the reconstructed wind and the estimated wind, computed using either estimator, follow Kolmogorov’s −5/3 law. |
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An extended Kalman filter is designed for two motion models identified from flight data: one that includes unsteady effects and another that does not. An air data unit with wind vanes and a Kiel probe is used to reconstruct the local wind velocity for validation. Analysis of time histories of the wind estimates and the wind estimate error relative to the reconstructed wind velocity shows that the two model-based estimators perform equally well. The power spectral densities of the reconstructed wind and the estimated wind, computed using either estimator, follow Kolmogorov’s −5/3 law.</description><identifier>ISSN: 0731-5090</identifier><identifier>EISSN: 1533-3884</identifier><identifier>DOI: 10.2514/1.G007836</identifier><language>eng</language><publisher>Reston: American Institute of Aeronautics and Astronautics</publisher><subject>Accuracy ; Aerodynamics ; Aircraft ; Aircraft configurations ; Algorithms ; Doppler effect ; Error analysis ; Estimates ; Extended Kalman filter ; Fixed wings ; Kalman filters ; Ocean engineering ; Sensors ; Unsteady aerodynamics ; Velocity ; Wind effects ; Wind speed ; Wind vanes</subject><ispartof>Journal of guidance, control, and dynamics, 2024-08, Vol.47 (8), p.1556-1568</ispartof><rights>Copyright © 2024 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved. All requests for copying and permission to reprint should be submitted to CCC at ; employ the eISSN to initiate your request. See also AIAA Rights and Permissions .</rights><rights>Copyright © 2024 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved. All requests for copying and permission to reprint should be submitted to CCC at www.copyright.com; employ the eISSN 1533-3884 to initiate your request. 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The power spectral densities of the reconstructed wind and the estimated wind, computed using either estimator, follow Kolmogorov’s −5/3 law.</description><subject>Accuracy</subject><subject>Aerodynamics</subject><subject>Aircraft</subject><subject>Aircraft configurations</subject><subject>Algorithms</subject><subject>Doppler effect</subject><subject>Error analysis</subject><subject>Estimates</subject><subject>Extended Kalman filter</subject><subject>Fixed wings</subject><subject>Kalman filters</subject><subject>Ocean engineering</subject><subject>Sensors</subject><subject>Unsteady aerodynamics</subject><subject>Velocity</subject><subject>Wind effects</subject><subject>Wind speed</subject><subject>Wind vanes</subject><issn>0731-5090</issn><issn>1533-3884</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNplkMFKAzEQhoMoWKsH3yAgCB62ZnZ2N9ljLW0VKl5aPC6zm0RS2t2abMG-vSktePA0h--bf5ifsXsQozSH7BlGcyGkwuKCDSBHTFCp7JINhERIclGKa3YTwloIwALkgC1XbegN6QMfG9_pQ0tb1wTuWv7eabNJXigYzT9dq_k09G5Lvetabn235TP3Y3QS0RcfO994sn1cOvJbdmVpE8zdeQ7ZajZdTl6Txcf8bTJeJARS9YnNtJUpZSqti6bMrMTaAGmJSopSE1iqm7zJS4E1QAmYR2pNgYSZJYGIQ_Zwyt357ntvQl-tu71v48kKReygTFWpovV0shrfheCNrXY-PuIPFYjqWFoF1bm06D6eXHJEf2n_xV9VZ2mu</recordid><startdate>20240801</startdate><enddate>20240801</enddate><creator>Halefom, Mekonen H.</creator><creator>Hopwood, Jeremy W.</creator><creator>Woolsey, Craig A.</creator><general>American Institute of Aeronautics and Astronautics</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0003-3483-7135</orcidid><orcidid>https://orcid.org/0000-0003-3708-137X</orcidid></search><sort><creationdate>20240801</creationdate><title>Unsteady Aerodynamics in Model-Based Wind Estimation from Fixed-Wing Aircraft Motion</title><author>Halefom, Mekonen H. ; Hopwood, Jeremy W. ; Woolsey, Craig A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a178t-f4df72a482b6c94f73be1ad738709da1fabc5c5903b119135e1afe63a34fa0333</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Accuracy</topic><topic>Aerodynamics</topic><topic>Aircraft</topic><topic>Aircraft configurations</topic><topic>Algorithms</topic><topic>Doppler effect</topic><topic>Error analysis</topic><topic>Estimates</topic><topic>Extended Kalman filter</topic><topic>Fixed wings</topic><topic>Kalman filters</topic><topic>Ocean engineering</topic><topic>Sensors</topic><topic>Unsteady aerodynamics</topic><topic>Velocity</topic><topic>Wind effects</topic><topic>Wind speed</topic><topic>Wind vanes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Halefom, Mekonen H.</creatorcontrib><creatorcontrib>Hopwood, Jeremy W.</creatorcontrib><creatorcontrib>Woolsey, Craig A.</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Journal of guidance, control, and dynamics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Halefom, Mekonen H.</au><au>Hopwood, Jeremy W.</au><au>Woolsey, Craig A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Unsteady Aerodynamics in Model-Based Wind Estimation from Fixed-Wing Aircraft Motion</atitle><jtitle>Journal of guidance, control, and dynamics</jtitle><date>2024-08-01</date><risdate>2024</risdate><volume>47</volume><issue>8</issue><spage>1556</spage><epage>1568</epage><pages>1556-1568</pages><issn>0731-5090</issn><eissn>1533-3884</eissn><abstract>This paper examines the value of incorporating unsteady aerodynamics in a model-based wind estimator for a small, fixed-wing aircraft and presents results of an experimental implementation. 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subjects | Accuracy Aerodynamics Aircraft Aircraft configurations Algorithms Doppler effect Error analysis Estimates Extended Kalman filter Fixed wings Kalman filters Ocean engineering Sensors Unsteady aerodynamics Velocity Wind effects Wind speed Wind vanes |
title | Unsteady Aerodynamics in Model-Based Wind Estimation from Fixed-Wing Aircraft Motion |
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