Numerical Optimal Control of Wave Energy Converters
Energy maximizing control for wave energy converters (WECs) is a nonstandard optimal control problem. While the constrained optimal control problem for WECs has been addressed by model-predictive control strategies, such strategies need to employ cost function modifications due to convexity problems...
Gespeichert in:
Veröffentlicht in: | IEEE transactions on sustainable energy 2015-04, Vol.6 (2), p.294-302 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 302 |
---|---|
container_issue | 2 |
container_start_page | 294 |
container_title | IEEE transactions on sustainable energy |
container_volume | 6 |
creator | Bacelli, Giorgio Ringwood, John V. |
description | Energy maximizing control for wave energy converters (WECs) is a nonstandard optimal control problem. While the constrained optimal control problem for WECs has been addressed by model-predictive control strategies, such strategies need to employ cost function modifications due to convexity problems and the algorithms are computationally complex, making real-time implementation difficult. The recently developed family of direct transcription methods offer a promising alternative, since they are computationally efficient and a convex problem results. Moreover, constraints on both the device displacement and velocity, and power take off force, are easily incorporated. Both single-body and multibody device models can be used, as well as arrays of single-body or multibody devices. |
doi_str_mv | 10.1109/TSTE.2014.2371536 |
format | Article |
fullrecord | <record><control><sourceid>crossref_RIE</sourceid><recordid>TN_cdi_crossref_primary_10_1109_TSTE_2014_2371536</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6987295</ieee_id><sourcerecordid>10_1109_TSTE_2014_2371536</sourcerecordid><originalsourceid>FETCH-LOGICAL-c378t-a3653ec8ec87a1ee277ad01f4e2d594f538cb3fed9e3c3557f60ea5a80563ed3</originalsourceid><addsrcrecordid>eNo9j91Kw0AQhRdRsNQ-gHiTF0jc3cn-XUqIWij2woCXy7qZlUjalN1Y6Nub0NJh4AzDnMN8hDwyWjBGzXPz2dQFp6wsOCgmQN6QBTOlyYGCur3O3NyTVUq_dCoAkEAXBD7-dhg77_psexi73aTVsB_j0GdDyL7cEbN6j_HnNK-PGEeM6YHcBdcnXF10SZrXuqne8832bV29bHIPSo-5AykAvZ5aOYbIlXItZaFE3gpTBgHaf0PA1iB4EEIFSdEJp6mQgC0sCTvH-jikFDHYQ5wejCfLqJ257cxtZ2574Z48T2dPh4jXe2m04kbAP8u7VAI</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Numerical Optimal Control of Wave Energy Converters</title><source>IEEE Electronic Library (IEL)</source><creator>Bacelli, Giorgio ; Ringwood, John V.</creator><creatorcontrib>Bacelli, Giorgio ; Ringwood, John V.</creatorcontrib><description>Energy maximizing control for wave energy converters (WECs) is a nonstandard optimal control problem. While the constrained optimal control problem for WECs has been addressed by model-predictive control strategies, such strategies need to employ cost function modifications due to convexity problems and the algorithms are computationally complex, making real-time implementation difficult. The recently developed family of direct transcription methods offer a promising alternative, since they are computationally efficient and a convex problem results. Moreover, constraints on both the device displacement and velocity, and power take off force, are easily incorporated. Both single-body and multibody device models can be used, as well as arrays of single-body or multibody devices.</description><identifier>ISSN: 1949-3029</identifier><identifier>EISSN: 1949-3037</identifier><identifier>DOI: 10.1109/TSTE.2014.2371536</identifier><identifier>CODEN: ITSEAJ</identifier><language>eng</language><publisher>IEEE</publisher><subject>Control systems ; direct transcription ; Equations ; Force ; Fourier series ; Mathematical model ; Method of moments ; Optimal control ; Vectors ; wave energy</subject><ispartof>IEEE transactions on sustainable energy, 2015-04, Vol.6 (2), p.294-302</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c378t-a3653ec8ec87a1ee277ad01f4e2d594f538cb3fed9e3c3557f60ea5a80563ed3</citedby><cites>FETCH-LOGICAL-c378t-a3653ec8ec87a1ee277ad01f4e2d594f538cb3fed9e3c3557f60ea5a80563ed3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6987295$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,777,781,793,27905,27906,54739</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6987295$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Bacelli, Giorgio</creatorcontrib><creatorcontrib>Ringwood, John V.</creatorcontrib><title>Numerical Optimal Control of Wave Energy Converters</title><title>IEEE transactions on sustainable energy</title><addtitle>TSTE</addtitle><description>Energy maximizing control for wave energy converters (WECs) is a nonstandard optimal control problem. While the constrained optimal control problem for WECs has been addressed by model-predictive control strategies, such strategies need to employ cost function modifications due to convexity problems and the algorithms are computationally complex, making real-time implementation difficult. The recently developed family of direct transcription methods offer a promising alternative, since they are computationally efficient and a convex problem results. Moreover, constraints on both the device displacement and velocity, and power take off force, are easily incorporated. Both single-body and multibody device models can be used, as well as arrays of single-body or multibody devices.</description><subject>Control systems</subject><subject>direct transcription</subject><subject>Equations</subject><subject>Force</subject><subject>Fourier series</subject><subject>Mathematical model</subject><subject>Method of moments</subject><subject>Optimal control</subject><subject>Vectors</subject><subject>wave energy</subject><issn>1949-3029</issn><issn>1949-3037</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9j91Kw0AQhRdRsNQ-gHiTF0jc3cn-XUqIWij2woCXy7qZlUjalN1Y6Nub0NJh4AzDnMN8hDwyWjBGzXPz2dQFp6wsOCgmQN6QBTOlyYGCur3O3NyTVUq_dCoAkEAXBD7-dhg77_psexi73aTVsB_j0GdDyL7cEbN6j_HnNK-PGEeM6YHcBdcnXF10SZrXuqne8832bV29bHIPSo-5AykAvZ5aOYbIlXItZaFE3gpTBgHaf0PA1iB4EEIFSdEJp6mQgC0sCTvH-jikFDHYQ5wejCfLqJ257cxtZ2574Z48T2dPh4jXe2m04kbAP8u7VAI</recordid><startdate>20150401</startdate><enddate>20150401</enddate><creator>Bacelli, Giorgio</creator><creator>Ringwood, John V.</creator><general>IEEE</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20150401</creationdate><title>Numerical Optimal Control of Wave Energy Converters</title><author>Bacelli, Giorgio ; Ringwood, John V.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c378t-a3653ec8ec87a1ee277ad01f4e2d594f538cb3fed9e3c3557f60ea5a80563ed3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Control systems</topic><topic>direct transcription</topic><topic>Equations</topic><topic>Force</topic><topic>Fourier series</topic><topic>Mathematical model</topic><topic>Method of moments</topic><topic>Optimal control</topic><topic>Vectors</topic><topic>wave energy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bacelli, Giorgio</creatorcontrib><creatorcontrib>Ringwood, John V.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><jtitle>IEEE transactions on sustainable energy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Bacelli, Giorgio</au><au>Ringwood, John V.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Numerical Optimal Control of Wave Energy Converters</atitle><jtitle>IEEE transactions on sustainable energy</jtitle><stitle>TSTE</stitle><date>2015-04-01</date><risdate>2015</risdate><volume>6</volume><issue>2</issue><spage>294</spage><epage>302</epage><pages>294-302</pages><issn>1949-3029</issn><eissn>1949-3037</eissn><coden>ITSEAJ</coden><abstract>Energy maximizing control for wave energy converters (WECs) is a nonstandard optimal control problem. While the constrained optimal control problem for WECs has been addressed by model-predictive control strategies, such strategies need to employ cost function modifications due to convexity problems and the algorithms are computationally complex, making real-time implementation difficult. The recently developed family of direct transcription methods offer a promising alternative, since they are computationally efficient and a convex problem results. Moreover, constraints on both the device displacement and velocity, and power take off force, are easily incorporated. Both single-body and multibody device models can be used, as well as arrays of single-body or multibody devices.</abstract><pub>IEEE</pub><doi>10.1109/TSTE.2014.2371536</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 1949-3029 |
ispartof | IEEE transactions on sustainable energy, 2015-04, Vol.6 (2), p.294-302 |
issn | 1949-3029 1949-3037 |
language | eng |
recordid | cdi_crossref_primary_10_1109_TSTE_2014_2371536 |
source | IEEE Electronic Library (IEL) |
subjects | Control systems direct transcription Equations Force Fourier series Mathematical model Method of moments Optimal control Vectors wave energy |
title | Numerical Optimal Control of Wave Energy Converters |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-17T22%3A47%3A45IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Numerical%20Optimal%20Control%20of%20Wave%20Energy%20Converters&rft.jtitle=IEEE%20transactions%20on%20sustainable%20energy&rft.au=Bacelli,%20Giorgio&rft.date=2015-04-01&rft.volume=6&rft.issue=2&rft.spage=294&rft.epage=302&rft.pages=294-302&rft.issn=1949-3029&rft.eissn=1949-3037&rft.coden=ITSEAJ&rft_id=info:doi/10.1109/TSTE.2014.2371536&rft_dat=%3Ccrossref_RIE%3E10_1109_TSTE_2014_2371536%3C/crossref_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=6987295&rfr_iscdi=true |