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Hardware-in-loop simulation of autonomous relative navigation for noncooperative spacecraft
This paper presents a hardware-in-loop simulation to validate the autonomous relative navigation algorithm for noncooperative target spacecraft. The algorithm was based on the closed-form solution of linear Clohessy-Wiltshire (C-W) equations and nonlinear measurement equations. The navigation filter...
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| creator | Yue Qiu Bibo Guo Bin Liang Cheng Li |
| description | This paper presents a hardware-in-loop simulation to validate the autonomous relative navigation algorithm for noncooperative target spacecraft. The algorithm was based on the closed-form solution of linear Clohessy-Wiltshire (C-W) equations and nonlinear measurement equations. The navigation filter, a 6-state extended Kalman filter, processes angle measurements from an optical navigation camera along with range measurement from laser rangefinder data to estimate the relative position and velocity between two spacecrafts. A 15-degree-of-freedom closed-loop kinemical simulation platform was set up based on attitude and relative position motion. The filterpsilas performance was evaluated and tested by running a hardware-inloop simulation experiment containing the relative measurement sensors. The experimental results validate the proposed algorithm. |
| doi_str_mv | 10.1109/ISSCAA.2008.4776314 |
| format | conference_proceeding |
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The algorithm was based on the closed-form solution of linear Clohessy-Wiltshire (C-W) equations and nonlinear measurement equations. The navigation filter, a 6-state extended Kalman filter, processes angle measurements from an optical navigation camera along with range measurement from laser rangefinder data to estimate the relative position and velocity between two spacecrafts. A 15-degree-of-freedom closed-loop kinemical simulation platform was set up based on attitude and relative position motion. The filterpsilas performance was evaluated and tested by running a hardware-inloop simulation experiment containing the relative measurement sensors. The experimental results validate the proposed algorithm.</description><identifier>ISBN: 9781424423859</identifier><identifier>ISBN: 1424439086</identifier><identifier>ISBN: 9781424439089</identifier><identifier>ISBN: 1424423856</identifier><identifier>EISBN: 9781424423866</identifier><identifier>EISBN: 1424423864</identifier><identifier>DOI: 10.1109/ISSCAA.2008.4776314</identifier><identifier>LCCN: 2008903110</identifier><language>eng</language><publisher>IEEE</publisher><subject>Closed-form solution ; Extended Kalman Filter ; Goniometers ; Hardware-In-Loop Simulation ; Navigation ; Nonlinear equations ; Nonlinear optics ; Optical filters ; Optical sensors ; Position measurement ; Relative Navigation ; Space vehicles ; Velocity measurement</subject><ispartof>2008 2nd International Symposium on Systems and Control in Aerospace and Astronautics, 2008, p.1-6</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4776314$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4776314$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Yue Qiu</creatorcontrib><creatorcontrib>Bibo Guo</creatorcontrib><creatorcontrib>Bin Liang</creatorcontrib><creatorcontrib>Cheng Li</creatorcontrib><title>Hardware-in-loop simulation of autonomous relative navigation for noncooperative spacecraft</title><title>2008 2nd International Symposium on Systems and Control in Aerospace and Astronautics</title><addtitle>ISSCAA</addtitle><description>This paper presents a hardware-in-loop simulation to validate the autonomous relative navigation algorithm for noncooperative target spacecraft. The algorithm was based on the closed-form solution of linear Clohessy-Wiltshire (C-W) equations and nonlinear measurement equations. The navigation filter, a 6-state extended Kalman filter, processes angle measurements from an optical navigation camera along with range measurement from laser rangefinder data to estimate the relative position and velocity between two spacecrafts. A 15-degree-of-freedom closed-loop kinemical simulation platform was set up based on attitude and relative position motion. The filterpsilas performance was evaluated and tested by running a hardware-inloop simulation experiment containing the relative measurement sensors. The experimental results validate the proposed algorithm.</description><subject>Closed-form solution</subject><subject>Extended Kalman Filter</subject><subject>Goniometers</subject><subject>Hardware-In-Loop Simulation</subject><subject>Navigation</subject><subject>Nonlinear equations</subject><subject>Nonlinear optics</subject><subject>Optical filters</subject><subject>Optical sensors</subject><subject>Position measurement</subject><subject>Relative Navigation</subject><subject>Space vehicles</subject><subject>Velocity measurement</subject><isbn>9781424423859</isbn><isbn>1424439086</isbn><isbn>9781424439089</isbn><isbn>1424423856</isbn><isbn>9781424423866</isbn><isbn>1424423864</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNp9j0GLwjAQhSOLoOv2F3jJH2hNmtg2R5Fd9Kw3DzJ0pxJpMyVpFf-9Fb14cS7De9-bB8PYXIpESmEW291uvVolqRBFovM8U1KPWGTyQupU61QVWfb1ppdmzL4fcSPU0DBhUQhnMYxeKpMWU3bYgP-_gsfYurgmanmwTV9DZ8lxqjj0HTlqqA_c48O-IHdwsadnoiLPHblyOET_pKGFEksPVffDxhXUAaPXnrH53-9-vYktIh5bbxvwt-PrD_WZ3gFkkkpT</recordid><startdate>200812</startdate><enddate>200812</enddate><creator>Yue Qiu</creator><creator>Bibo Guo</creator><creator>Bin Liang</creator><creator>Cheng Li</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200812</creationdate><title>Hardware-in-loop simulation of autonomous relative navigation for noncooperative spacecraft</title><author>Yue Qiu ; Bibo Guo ; Bin Liang ; Cheng Li</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_47763143</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Closed-form solution</topic><topic>Extended Kalman Filter</topic><topic>Goniometers</topic><topic>Hardware-In-Loop Simulation</topic><topic>Navigation</topic><topic>Nonlinear equations</topic><topic>Nonlinear optics</topic><topic>Optical filters</topic><topic>Optical sensors</topic><topic>Position measurement</topic><topic>Relative Navigation</topic><topic>Space vehicles</topic><topic>Velocity measurement</topic><toplevel>online_resources</toplevel><creatorcontrib>Yue Qiu</creatorcontrib><creatorcontrib>Bibo Guo</creatorcontrib><creatorcontrib>Bin Liang</creatorcontrib><creatorcontrib>Cheng Li</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>Yue Qiu</au><au>Bibo Guo</au><au>Bin Liang</au><au>Cheng Li</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Hardware-in-loop simulation of autonomous relative navigation for noncooperative spacecraft</atitle><btitle>2008 2nd International Symposium on Systems and Control in Aerospace and Astronautics</btitle><stitle>ISSCAA</stitle><date>2008-12</date><risdate>2008</risdate><spage>1</spage><epage>6</epage><pages>1-6</pages><isbn>9781424423859</isbn><isbn>1424439086</isbn><isbn>9781424439089</isbn><isbn>1424423856</isbn><eisbn>9781424423866</eisbn><eisbn>1424423864</eisbn><abstract>This paper presents a hardware-in-loop simulation to validate the autonomous relative navigation algorithm for noncooperative target spacecraft. The algorithm was based on the closed-form solution of linear Clohessy-Wiltshire (C-W) equations and nonlinear measurement equations. The navigation filter, a 6-state extended Kalman filter, processes angle measurements from an optical navigation camera along with range measurement from laser rangefinder data to estimate the relative position and velocity between two spacecrafts. A 15-degree-of-freedom closed-loop kinemical simulation platform was set up based on attitude and relative position motion. The filterpsilas performance was evaluated and tested by running a hardware-inloop simulation experiment containing the relative measurement sensors. The experimental results validate the proposed algorithm.</abstract><pub>IEEE</pub><doi>10.1109/ISSCAA.2008.4776314</doi></addata></record> |
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| identifier | ISBN: 9781424423859 |
| ispartof | 2008 2nd International Symposium on Systems and Control in Aerospace and Astronautics, 2008, p.1-6 |
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| language | eng |
| recordid | cdi_ieee_primary_4776314 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Closed-form solution Extended Kalman Filter Goniometers Hardware-In-Loop Simulation Navigation Nonlinear equations Nonlinear optics Optical filters Optical sensors Position measurement Relative Navigation Space vehicles Velocity measurement |
| title | Hardware-in-loop simulation of autonomous relative navigation for noncooperative spacecraft |
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