Heuristic control of dynamic soaring
Dynamic soaring is flight sustained through the power gained by coordinated manoeuvering in wind gradients. These wind gradients can be horizontal, as caused by wind shear, and relevant to the mode of dynamic soaring by certain birds such as the albatross; or they may be vertical gradients, as cause...
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description | Dynamic soaring is flight sustained through the power gained by coordinated manoeuvering in wind gradients. These wind gradients can be horizontal, as caused by wind shear, and relevant to the mode of dynamic soaring by certain birds such as the albatross; or they may be vertical gradients, as caused by irregular thermal updrafts. Other defacto gradients may be encountered due to gusts and local orographic flow. All of these modes may be exploited by uninhabited air vehicles (UAVs) as sources of energy and hence increase their range and endurance. The problem of determining dynamic soaring trajectories has been previously explored in the literature. However, those studies have focused on regular horizontal gusts and have neglected the problem of determining closed loop control laws. Given the scope of current knowledge, the technology to apply dynamic soaring to UAVs is immature. This paper describes two approaches to the closed loop dynamic soaring control problem: the first involving extensive analysis of perturbed open loop trajectory solutions; the second involving the adoption of a simple heuristic. Experimental results are presented for the second method to illustrate the approach. |
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These wind gradients can be horizontal, as caused by wind shear, and relevant to the mode of dynamic soaring by certain birds such as the albatross; or they may be vertical gradients, as caused by irregular thermal updrafts. Other defacto gradients may be encountered due to gusts and local orographic flow. All of these modes may be exploited by uninhabited air vehicles (UAVs) as sources of energy and hence increase their range and endurance. The problem of determining dynamic soaring trajectories has been previously explored in the literature. However, those studies have focused on regular horizontal gusts and have neglected the problem of determining closed loop control laws. Given the scope of current knowledge, the technology to apply dynamic soaring to UAVs is immature. This paper describes two approaches to the closed loop dynamic soaring control problem: the first involving extensive analysis of perturbed open loop trajectory solutions; the second involving the adoption of a simple heuristic. Experimental results are presented for the second method to illustrate the approach.</description><identifier>ISBN: 9780780388734</identifier><identifier>ISBN: 0780388739</identifier><language>eng</language><publisher>IEEE</publisher><subject>Aerodynamics ; Australia ; Automatic control ; Birds ; Laboratories ; Meteorology ; Open loop systems ; Unmanned aerial vehicles ; Vehicle dynamics ; Wind forecasting</subject><ispartof>2004 5th Asian Control Conference (IEEE Cat. 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These wind gradients can be horizontal, as caused by wind shear, and relevant to the mode of dynamic soaring by certain birds such as the albatross; or they may be vertical gradients, as caused by irregular thermal updrafts. Other defacto gradients may be encountered due to gusts and local orographic flow. All of these modes may be exploited by uninhabited air vehicles (UAVs) as sources of energy and hence increase their range and endurance. The problem of determining dynamic soaring trajectories has been previously explored in the literature. However, those studies have focused on regular horizontal gusts and have neglected the problem of determining closed loop control laws. Given the scope of current knowledge, the technology to apply dynamic soaring to UAVs is immature. This paper describes two approaches to the closed loop dynamic soaring control problem: the first involving extensive analysis of perturbed open loop trajectory solutions; the second involving the adoption of a simple heuristic. Experimental results are presented for the second method to illustrate the approach.</description><subject>Aerodynamics</subject><subject>Australia</subject><subject>Automatic control</subject><subject>Birds</subject><subject>Laboratories</subject><subject>Meteorology</subject><subject>Open loop systems</subject><subject>Unmanned aerial vehicles</subject><subject>Vehicle dynamics</subject><subject>Wind forecasting</subject><isbn>9780780388734</isbn><isbn>0780388739</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2004</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjL0KwjAURgMiKNoncOngWrjNvTXJKMU_EFzcJWkSidhWkjr49hb08MGBbzgTlikhYRxKKZBmLEvpASOoqAQ1Z-uje8eQhtDkTd8NsX_mvc_tp9PteKVex9Ddl2zq9TO57O8Fu-531_pYnC-HU709F0HBUDgzVrVUVnsUiJKs4YTKqJJzC9aVxldCO1AEDUoP5KUxHhqCDa8sVrhgq182OOdurxhaHT-3kvhGEOAXD5Y4Ww</recordid><startdate>2004</startdate><enddate>2004</enddate><creator>Wharington, J.M.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2004</creationdate><title>Heuristic control of dynamic soaring</title><author>Wharington, J.M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-eb039a89daf373384db2439b9122d0de1bf57ae0940c38f04f8bbf0c40625d353</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Aerodynamics</topic><topic>Australia</topic><topic>Automatic control</topic><topic>Birds</topic><topic>Laboratories</topic><topic>Meteorology</topic><topic>Open loop systems</topic><topic>Unmanned aerial vehicles</topic><topic>Vehicle dynamics</topic><topic>Wind forecasting</topic><toplevel>online_resources</toplevel><creatorcontrib>Wharington, J.M.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Wharington, J.M.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Heuristic control of dynamic soaring</atitle><btitle>2004 5th Asian Control Conference (IEEE Cat. No.04EX904)</btitle><stitle>ASCC</stitle><date>2004</date><risdate>2004</risdate><volume>2</volume><spage>714</spage><epage>722 Vol.2</epage><pages>714-722 Vol.2</pages><isbn>9780780388734</isbn><isbn>0780388739</isbn><abstract>Dynamic soaring is flight sustained through the power gained by coordinated manoeuvering in wind gradients. These wind gradients can be horizontal, as caused by wind shear, and relevant to the mode of dynamic soaring by certain birds such as the albatross; or they may be vertical gradients, as caused by irregular thermal updrafts. Other defacto gradients may be encountered due to gusts and local orographic flow. All of these modes may be exploited by uninhabited air vehicles (UAVs) as sources of energy and hence increase their range and endurance. The problem of determining dynamic soaring trajectories has been previously explored in the literature. However, those studies have focused on regular horizontal gusts and have neglected the problem of determining closed loop control laws. Given the scope of current knowledge, the technology to apply dynamic soaring to UAVs is immature. This paper describes two approaches to the closed loop dynamic soaring control problem: the first involving extensive analysis of perturbed open loop trajectory solutions; the second involving the adoption of a simple heuristic. Experimental results are presented for the second method to illustrate the approach.</abstract><pub>IEEE</pub></addata></record> |
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ispartof | 2004 5th Asian Control Conference (IEEE Cat. No.04EX904), 2004, Vol.2, p.714-722 Vol.2 |
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language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Aerodynamics Australia Automatic control Birds Laboratories Meteorology Open loop systems Unmanned aerial vehicles Vehicle dynamics Wind forecasting |
title | Heuristic control of dynamic soaring |
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