Combined wind speed and angle control in a virtual environment using a static observer

This paper develops a static observer for estimating wind speed in order to control wind speed and angle control at a user position in a submersive virtual environment. Addition of wind display evolves the Treadport Virtual environment into a highly immersive virtual environment called Treadport Act...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Kulkarni, S.D., Minor, M.A., Pardyjak, E.R., Hollerbach, J.M.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 1010
container_issue
container_start_page 1005
container_title
container_volume
creator Kulkarni, S.D.
Minor, M.A.
Pardyjak, E.R.
Hollerbach, J.M.
description This paper develops a static observer for estimating wind speed in order to control wind speed and angle control at a user position in a submersive virtual environment. Addition of wind display evolves the Treadport Virtual environment into a highly immersive virtual environment called Treadport Active Wind Tunnel (TPAWT). Experiments on a scaled model of the TPAWT show that headwind flow stream diverges at the user. Pitot tube sensors placed at a particular region of converged flow in the scaled TPAWT provide measurements with lower noise. Open loop experiments on a scaled model of TPAWT show that there exists a relationship between speed measured at this region of converged flow and the wind speed at the user position. Using this relationship, the wind speed at the user can be estimated. We use this relation and combine previously used speed and angle controllers based upon the small gain theorem with a dynamic extension and conditional angular rate-switching control. Finally, we simultaneously control wind speed and headwind angle.
doi_str_mv 10.1109/IROS.2008.4651066
format Conference Proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_4651066</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>4651066</ieee_id><sourcerecordid>4651066</sourcerecordid><originalsourceid>FETCH-LOGICAL-i218t-40166f728c7627a9d487a1b25fb7ea26bf775819c52307d0b7faa1fb5f5dd8853</originalsourceid><addsrcrecordid>eNpVkNtKAzEYhOOhYK19APEmL7D1TzZ_kr2UxWqhUPB0W5LdpES22bLZVnx7t1gEB4YZ-GAuhpBbBjPGoLhfvKxeZxxAz4REBlKekWmhNBNcCA6o-TkZc4Z5BlrKi39M4eUfQz0i18eZAoBpeUWmKX3CIIG54DgmH2W7tSG6mn6FWNO0c0M18ehN42jVxr5rGxoiNfQQun5vGuri0Nq4dbGn-xTiZmCpN32oaGuT6w6uuyEjb5rkpqeckPf541v5nC1XT4vyYZkFznSfCWBSesV1pSRXpqiFVoZZjt4qZ7i0XinUrKiQ56BqsMobw7xFj3WtNeYTcve7G5xz610Xtqb7Xp8uy38AmMpY1Q</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Combined wind speed and angle control in a virtual environment using a static observer</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Kulkarni, S.D. ; Minor, M.A. ; Pardyjak, E.R. ; Hollerbach, J.M.</creator><creatorcontrib>Kulkarni, S.D. ; Minor, M.A. ; Pardyjak, E.R. ; Hollerbach, J.M.</creatorcontrib><description>This paper develops a static observer for estimating wind speed in order to control wind speed and angle control at a user position in a submersive virtual environment. Addition of wind display evolves the Treadport Virtual environment into a highly immersive virtual environment called Treadport Active Wind Tunnel (TPAWT). Experiments on a scaled model of the TPAWT show that headwind flow stream diverges at the user. Pitot tube sensors placed at a particular region of converged flow in the scaled TPAWT provide measurements with lower noise. Open loop experiments on a scaled model of TPAWT show that there exists a relationship between speed measured at this region of converged flow and the wind speed at the user position. Using this relationship, the wind speed at the user can be estimated. We use this relation and combine previously used speed and angle controllers based upon the small gain theorem with a dynamic extension and conditional angular rate-switching control. Finally, we simultaneously control wind speed and headwind angle.</description><identifier>ISSN: 2153-0858</identifier><identifier>ISBN: 9781424420575</identifier><identifier>ISBN: 1424420571</identifier><identifier>EISSN: 2153-0866</identifier><identifier>EISBN: 9781424420582</identifier><identifier>EISBN: 142442058X</identifier><identifier>DOI: 10.1109/IROS.2008.4651066</identifier><identifier>LCCN: 2008900186</identifier><language>eng</language><publisher>IEEE</publisher><subject>Control systems ; Gain ; Observers ; Sensors ; Vents ; Virtual environment ; Wind speed</subject><ispartof>2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008, p.1005-1010</ispartof><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4651066$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4651066$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Kulkarni, S.D.</creatorcontrib><creatorcontrib>Minor, M.A.</creatorcontrib><creatorcontrib>Pardyjak, E.R.</creatorcontrib><creatorcontrib>Hollerbach, J.M.</creatorcontrib><title>Combined wind speed and angle control in a virtual environment using a static observer</title><title>2008 IEEE/RSJ International Conference on Intelligent Robots and Systems</title><addtitle>IROS</addtitle><description>This paper develops a static observer for estimating wind speed in order to control wind speed and angle control at a user position in a submersive virtual environment. Addition of wind display evolves the Treadport Virtual environment into a highly immersive virtual environment called Treadport Active Wind Tunnel (TPAWT). Experiments on a scaled model of the TPAWT show that headwind flow stream diverges at the user. Pitot tube sensors placed at a particular region of converged flow in the scaled TPAWT provide measurements with lower noise. Open loop experiments on a scaled model of TPAWT show that there exists a relationship between speed measured at this region of converged flow and the wind speed at the user position. Using this relationship, the wind speed at the user can be estimated. We use this relation and combine previously used speed and angle controllers based upon the small gain theorem with a dynamic extension and conditional angular rate-switching control. Finally, we simultaneously control wind speed and headwind angle.</description><subject>Control systems</subject><subject>Gain</subject><subject>Observers</subject><subject>Sensors</subject><subject>Vents</subject><subject>Virtual environment</subject><subject>Wind speed</subject><issn>2153-0858</issn><issn>2153-0866</issn><isbn>9781424420575</isbn><isbn>1424420571</isbn><isbn>9781424420582</isbn><isbn>142442058X</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVkNtKAzEYhOOhYK19APEmL7D1TzZ_kr2UxWqhUPB0W5LdpES22bLZVnx7t1gEB4YZ-GAuhpBbBjPGoLhfvKxeZxxAz4REBlKekWmhNBNcCA6o-TkZc4Z5BlrKi39M4eUfQz0i18eZAoBpeUWmKX3CIIG54DgmH2W7tSG6mn6FWNO0c0M18ehN42jVxr5rGxoiNfQQun5vGuri0Nq4dbGn-xTiZmCpN32oaGuT6w6uuyEjb5rkpqeckPf541v5nC1XT4vyYZkFznSfCWBSesV1pSRXpqiFVoZZjt4qZ7i0XinUrKiQ56BqsMobw7xFj3WtNeYTcve7G5xz610Xtqb7Xp8uy38AmMpY1Q</recordid><startdate>20080101</startdate><enddate>20080101</enddate><creator>Kulkarni, S.D.</creator><creator>Minor, M.A.</creator><creator>Pardyjak, E.R.</creator><creator>Hollerbach, J.M.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>20080101</creationdate><title>Combined wind speed and angle control in a virtual environment using a static observer</title><author>Kulkarni, S.D. ; Minor, M.A. ; Pardyjak, E.R. ; Hollerbach, J.M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i218t-40166f728c7627a9d487a1b25fb7ea26bf775819c52307d0b7faa1fb5f5dd8853</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Control systems</topic><topic>Gain</topic><topic>Observers</topic><topic>Sensors</topic><topic>Vents</topic><topic>Virtual environment</topic><topic>Wind speed</topic><toplevel>online_resources</toplevel><creatorcontrib>Kulkarni, S.D.</creatorcontrib><creatorcontrib>Minor, M.A.</creatorcontrib><creatorcontrib>Pardyjak, E.R.</creatorcontrib><creatorcontrib>Hollerbach, J.M.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Kulkarni, S.D.</au><au>Minor, M.A.</au><au>Pardyjak, E.R.</au><au>Hollerbach, J.M.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Combined wind speed and angle control in a virtual environment using a static observer</atitle><btitle>2008 IEEE/RSJ International Conference on Intelligent Robots and Systems</btitle><stitle>IROS</stitle><date>2008-01-01</date><risdate>2008</risdate><spage>1005</spage><epage>1010</epage><pages>1005-1010</pages><issn>2153-0858</issn><eissn>2153-0866</eissn><isbn>9781424420575</isbn><isbn>1424420571</isbn><eisbn>9781424420582</eisbn><eisbn>142442058X</eisbn><abstract>This paper develops a static observer for estimating wind speed in order to control wind speed and angle control at a user position in a submersive virtual environment. Addition of wind display evolves the Treadport Virtual environment into a highly immersive virtual environment called Treadport Active Wind Tunnel (TPAWT). Experiments on a scaled model of the TPAWT show that headwind flow stream diverges at the user. Pitot tube sensors placed at a particular region of converged flow in the scaled TPAWT provide measurements with lower noise. Open loop experiments on a scaled model of TPAWT show that there exists a relationship between speed measured at this region of converged flow and the wind speed at the user position. Using this relationship, the wind speed at the user can be estimated. We use this relation and combine previously used speed and angle controllers based upon the small gain theorem with a dynamic extension and conditional angular rate-switching control. Finally, we simultaneously control wind speed and headwind angle.</abstract><pub>IEEE</pub><doi>10.1109/IROS.2008.4651066</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 2153-0858
ispartof 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008, p.1005-1010
issn 2153-0858
2153-0866
language eng
recordid cdi_ieee_primary_4651066
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Control systems
Gain
Observers
Sensors
Vents
Virtual environment
Wind speed
title Combined wind speed and angle control in a virtual environment using a static observer
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T17%3A31%3A36IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Combined%20wind%20speed%20and%20angle%20control%20in%20a%20virtual%20environment%20using%20a%20static%20observer&rft.btitle=2008%20IEEE/RSJ%20International%20Conference%20on%20Intelligent%20Robots%20and%20Systems&rft.au=Kulkarni,%20S.D.&rft.date=2008-01-01&rft.spage=1005&rft.epage=1010&rft.pages=1005-1010&rft.issn=2153-0858&rft.eissn=2153-0866&rft.isbn=9781424420575&rft.isbn_list=1424420571&rft_id=info:doi/10.1109/IROS.2008.4651066&rft_dat=%3Cieee_6IE%3E4651066%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=9781424420582&rft.eisbn_list=142442058X&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=4651066&rfr_iscdi=true