Optimal guidance and nonlinear estimation for interception of accelerating targets
Optimal guidance and nonlinear estimation algorithms are formulated for interception of an accelerating target vehicle during boost. For an interceptor with two-axis control of translational acceleration, time to go may be selected to null the component of commanded acceleration along the uncontroll...
Gespeichert in:
Veröffentlicht in: | Journal of guidance, control, and dynamics control, and dynamics, 1995-09, Vol.18 (5), p.959-968 |
---|---|
1. Verfasser: | |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 968 |
---|---|
container_issue | 5 |
container_start_page | 959 |
container_title | Journal of guidance, control, and dynamics |
container_volume | 18 |
creator | Hough, Michael E |
description | Optimal guidance and nonlinear estimation algorithms are formulated for interception of an accelerating target vehicle during boost. For an interceptor with two-axis control of translational acceleration, time to go may be selected to null the component of commanded acceleration along the uncontrolled axis. A nine-state, extended Kalman filter is formulated, in a Cartesian inertial frame. The filter dynamics model includes a vector-differential equation for the thrust acceleration vector of the target during a gravity-turn maneuver. With angle measurements from a strapdown seeker, very small miss distances can be achieved, despite large estimation errors in range, because of the time-to-go algorithm. Monte Carlo simulations are used to generate theoretical collision probabilities as functions of sensor measurement accuracy and filter update rate. (Author) |
doi_str_mv | 10.2514/3.21491 |
format | Article |
fullrecord | <record><control><sourceid>proquest_aiaa_</sourceid><recordid>TN_cdi_proquest_miscellaneous_25958686</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2313808159</sourcerecordid><originalsourceid>FETCH-LOGICAL-a377t-8fa5e20901aee845d0d36ea022702546c5816e6f3f56eef8c63cc79bf71cd67c3</originalsourceid><addsrcrecordid>eNp9kVtLAzEQhYMoWKv4FxYUxYetyWZz2Ucp3qBQEH0OMTspW7bZNcmC_nvTCxSK-DQw83HmzBmELgmeFIyU93RSkLIiR2hEGKU5lbI8RiMsKMkZrvApOgthiTGhnIgRepv3sVnpNlsMTa2dgUy7OnOdaxsH2mcQ1uPYdC6znc8aF8Eb6DeNzmbaGGjBJ8Atsqj9AmI4RydWtwEudnWMPp4e36cv-Wz-_Dp9mOWaChFzaTWDIjkiGkCWrMY15aBxUQhcsJIbJgkHbqllHMBKw6kxovq0gpiaC0PH6Har2_vua0hG1aoJyU6rHXRDUKIsORPrEMbo5l-yYBWTXPIEXh2Ay27wLl2hCkqoxJKwar_Y-C4ED1b1PoXkfxTBav0DRdXmB4m825K60XqvtRurvrbKDm0b4Tsm9vov9lDyF7mGklY</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2313808159</pqid></control><display><type>article</type><title>Optimal guidance and nonlinear estimation for interception of accelerating targets</title><source>Alma/SFX Local Collection</source><creator>Hough, Michael E</creator><creatorcontrib>Hough, Michael E</creatorcontrib><description>Optimal guidance and nonlinear estimation algorithms are formulated for interception of an accelerating target vehicle during boost. For an interceptor with two-axis control of translational acceleration, time to go may be selected to null the component of commanded acceleration along the uncontrolled axis. A nine-state, extended Kalman filter is formulated, in a Cartesian inertial frame. The filter dynamics model includes a vector-differential equation for the thrust acceleration vector of the target during a gravity-turn maneuver. With angle measurements from a strapdown seeker, very small miss distances can be achieved, despite large estimation errors in range, because of the time-to-go algorithm. Monte Carlo simulations are used to generate theoretical collision probabilities as functions of sensor measurement accuracy and filter update rate. (Author)</description><identifier>ISSN: 0731-5090</identifier><identifier>EISSN: 1533-3884</identifier><identifier>DOI: 10.2514/3.21491</identifier><language>eng</language><publisher>Reston: American Institute of Aeronautics and Astronautics</publisher><subject>Acceleration control ; Accuracy ; Algorithms ; Angle measurement ; Computer simulation ; Differential equations ; Estimation ; Interception ; Kalman filtering ; Mathematical models ; Monte Carlo methods ; Monte Carlo simulation ; Optimal control systems ; Probability ; Vectors ; Velocity</subject><ispartof>Journal of guidance, control, and dynamics, 1995-09, Vol.18 (5), p.959-968</ispartof><rights>Copyright American Institute of Aeronautics and Astronautics Sep/Oct 1995</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a377t-8fa5e20901aee845d0d36ea022702546c5816e6f3f56eef8c63cc79bf71cd67c3</citedby><cites>FETCH-LOGICAL-a377t-8fa5e20901aee845d0d36ea022702546c5816e6f3f56eef8c63cc79bf71cd67c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Hough, Michael E</creatorcontrib><title>Optimal guidance and nonlinear estimation for interception of accelerating targets</title><title>Journal of guidance, control, and dynamics</title><description>Optimal guidance and nonlinear estimation algorithms are formulated for interception of an accelerating target vehicle during boost. For an interceptor with two-axis control of translational acceleration, time to go may be selected to null the component of commanded acceleration along the uncontrolled axis. A nine-state, extended Kalman filter is formulated, in a Cartesian inertial frame. The filter dynamics model includes a vector-differential equation for the thrust acceleration vector of the target during a gravity-turn maneuver. With angle measurements from a strapdown seeker, very small miss distances can be achieved, despite large estimation errors in range, because of the time-to-go algorithm. Monte Carlo simulations are used to generate theoretical collision probabilities as functions of sensor measurement accuracy and filter update rate. (Author)</description><subject>Acceleration control</subject><subject>Accuracy</subject><subject>Algorithms</subject><subject>Angle measurement</subject><subject>Computer simulation</subject><subject>Differential equations</subject><subject>Estimation</subject><subject>Interception</subject><subject>Kalman filtering</subject><subject>Mathematical models</subject><subject>Monte Carlo methods</subject><subject>Monte Carlo simulation</subject><subject>Optimal control systems</subject><subject>Probability</subject><subject>Vectors</subject><subject>Velocity</subject><issn>0731-5090</issn><issn>1533-3884</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1995</creationdate><recordtype>article</recordtype><recordid>eNp9kVtLAzEQhYMoWKv4FxYUxYetyWZz2Ucp3qBQEH0OMTspW7bZNcmC_nvTCxSK-DQw83HmzBmELgmeFIyU93RSkLIiR2hEGKU5lbI8RiMsKMkZrvApOgthiTGhnIgRepv3sVnpNlsMTa2dgUy7OnOdaxsH2mcQ1uPYdC6znc8aF8Eb6DeNzmbaGGjBJ8Atsqj9AmI4RydWtwEudnWMPp4e36cv-Wz-_Dp9mOWaChFzaTWDIjkiGkCWrMY15aBxUQhcsJIbJgkHbqllHMBKw6kxovq0gpiaC0PH6Har2_vua0hG1aoJyU6rHXRDUKIsORPrEMbo5l-yYBWTXPIEXh2Ay27wLl2hCkqoxJKwar_Y-C4ED1b1PoXkfxTBav0DRdXmB4m825K60XqvtRurvrbKDm0b4Tsm9vov9lDyF7mGklY</recordid><startdate>19950901</startdate><enddate>19950901</enddate><creator>Hough, Michael E</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><scope>7TC</scope></search><sort><creationdate>19950901</creationdate><title>Optimal guidance and nonlinear estimation for interception of accelerating targets</title><author>Hough, Michael E</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a377t-8fa5e20901aee845d0d36ea022702546c5816e6f3f56eef8c63cc79bf71cd67c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1995</creationdate><topic>Acceleration control</topic><topic>Accuracy</topic><topic>Algorithms</topic><topic>Angle measurement</topic><topic>Computer simulation</topic><topic>Differential equations</topic><topic>Estimation</topic><topic>Interception</topic><topic>Kalman filtering</topic><topic>Mathematical models</topic><topic>Monte Carlo methods</topic><topic>Monte Carlo simulation</topic><topic>Optimal control systems</topic><topic>Probability</topic><topic>Vectors</topic><topic>Velocity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hough, Michael E</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><collection>Mechanical Engineering Abstracts</collection><jtitle>Journal of guidance, control, and dynamics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hough, Michael E</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimal guidance and nonlinear estimation for interception of accelerating targets</atitle><jtitle>Journal of guidance, control, and dynamics</jtitle><date>1995-09-01</date><risdate>1995</risdate><volume>18</volume><issue>5</issue><spage>959</spage><epage>968</epage><pages>959-968</pages><issn>0731-5090</issn><eissn>1533-3884</eissn><abstract>Optimal guidance and nonlinear estimation algorithms are formulated for interception of an accelerating target vehicle during boost. For an interceptor with two-axis control of translational acceleration, time to go may be selected to null the component of commanded acceleration along the uncontrolled axis. A nine-state, extended Kalman filter is formulated, in a Cartesian inertial frame. The filter dynamics model includes a vector-differential equation for the thrust acceleration vector of the target during a gravity-turn maneuver. With angle measurements from a strapdown seeker, very small miss distances can be achieved, despite large estimation errors in range, because of the time-to-go algorithm. Monte Carlo simulations are used to generate theoretical collision probabilities as functions of sensor measurement accuracy and filter update rate. (Author)</abstract><cop>Reston</cop><pub>American Institute of Aeronautics and Astronautics</pub><doi>10.2514/3.21491</doi><tpages>10</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0731-5090 |
ispartof | Journal of guidance, control, and dynamics, 1995-09, Vol.18 (5), p.959-968 |
issn | 0731-5090 1533-3884 |
language | eng |
recordid | cdi_proquest_miscellaneous_25958686 |
source | Alma/SFX Local Collection |
subjects | Acceleration control Accuracy Algorithms Angle measurement Computer simulation Differential equations Estimation Interception Kalman filtering Mathematical models Monte Carlo methods Monte Carlo simulation Optimal control systems Probability Vectors Velocity |
title | Optimal guidance and nonlinear estimation for interception of accelerating targets |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-24T01%3A17%3A44IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_aiaa_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Optimal%20guidance%20and%20nonlinear%20estimation%20for%20interception%20of%20accelerating%20targets&rft.jtitle=Journal%20of%20guidance,%20control,%20and%20dynamics&rft.au=Hough,%20Michael%20E&rft.date=1995-09-01&rft.volume=18&rft.issue=5&rft.spage=959&rft.epage=968&rft.pages=959-968&rft.issn=0731-5090&rft.eissn=1533-3884&rft_id=info:doi/10.2514/3.21491&rft_dat=%3Cproquest_aiaa_%3E2313808159%3C/proquest_aiaa_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2313808159&rft_id=info:pmid/&rfr_iscdi=true |