Intelligent Control Approach for Fluid Power Transmission of a Wind Turbine System
Fluid power transmission has caught the eye in recent times, in the field of wind turbine technology. The turbine rotor blades tend to yield an aerodynamic torque, which is transformed into a high pressure fluid through a pump. This fluid is utilized to generate speed and torque yet again at the dis...
Gespeichert in:
| Veröffentlicht in: | Journal of physics. Conference series 2019-08, Vol.1276 (1), p.12001 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | 1 |
| container_start_page | 12001 |
| container_title | Journal of physics. Conference series |
| container_volume | 1276 |
| creator | Mungekar, Abhishek Venkatesan, Kalaichelvi Ramanujam, Karthikeyan Savio Lourence, Jason |
| description | Fluid power transmission has caught the eye in recent times, in the field of wind turbine technology. The turbine rotor blades tend to yield an aerodynamic torque, which is transformed into a high pressure fluid through a pump. This fluid is utilized to generate speed and torque yet again at the distant end of the circuit. The paramount objective of this research is to obtain a virtually operating dynamic model of a hydraulic powered transmission in a wind turbine, in order to understand its dynamic behaviour and also, to obtain knowledge about the influence of the prime parameters on the wind turbine. To accomplish this task, a virtual hydraulic powered wind turbine system is designed with a power rating of 23KW. The process is virtually simulated on the AUTOMATION STUDIO software (version 6.2). The intelligent control strategy used in the present work is based on fuzzy logic that uses human intelligence for a particular desired outcome. The effectiveness of the recommended controller is contrasted with that of a conventional PID controller in the following paper. |
| doi_str_mv | 10.1088/1742-6596/1276/1/012001 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_iop_j</sourceid><recordid>TN_cdi_proquest_journals_2567769020</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2567769020</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2741-61563b57e4d8195dd54fbe4c9c2a9f05d29f90665e03ee60c9eab3a237da4b3a3</originalsourceid><addsrcrecordid>eNqFkG9LwzAQxosoOKefwYDvhLr8aZLm5ShOJwPFTXwZ0jbVjC6pSYvs29tSmQiC9-Lu4J7n7vhF0SWCNwim6QzxBMeMCjZDmPdpBhGGEB1Fk8Pk-NCn6Wl0FsIWQtIHn0TPS9vqujZv2rYgc7b1rgbzpvFOFe-gch4s6s6U4Ml9ag82XtmwMyEYZ4GrgAKvxpZg0_ncWA3W-9Dq3Xl0Uqk66IvvOo1eFreb7D5ePd4ts_kqLjBPUMwQZSSnXCdligQtS5pUuU4KUWAlKkhLLCoBGaMaEq0ZLIRWOVGY8FIlfUOm0dW4t3_2o9OhlVvXeduflJgyzpmAGPYqPqoK70LwupKNNzvl9xJBOQCUAxo5YJIDQInkCLB3ktFpXPOz-n_X9R-uh6ds_Vsom7IiX3Rhf6U</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2567769020</pqid></control><display><type>article</type><title>Intelligent Control Approach for Fluid Power Transmission of a Wind Turbine System</title><source>Institute of Physics IOPscience extra</source><source>Free E-Journal (出版社公開部分のみ）</source><source>Institute of Physics Open Access Journal Titles</source><source>Alma/SFX Local Collection</source><source>Free Full-Text Journals in Chemistry</source><creator>Mungekar, Abhishek ; Venkatesan, Kalaichelvi ; Ramanujam, Karthikeyan ; Savio Lourence, Jason</creator><creatorcontrib>Mungekar, Abhishek ; Venkatesan, Kalaichelvi ; Ramanujam, Karthikeyan ; Savio Lourence, Jason</creatorcontrib><description>Fluid power transmission has caught the eye in recent times, in the field of wind turbine technology. The turbine rotor blades tend to yield an aerodynamic torque, which is transformed into a high pressure fluid through a pump. This fluid is utilized to generate speed and torque yet again at the distant end of the circuit. The paramount objective of this research is to obtain a virtually operating dynamic model of a hydraulic powered transmission in a wind turbine, in order to understand its dynamic behaviour and also, to obtain knowledge about the influence of the prime parameters on the wind turbine. To accomplish this task, a virtual hydraulic powered wind turbine system is designed with a power rating of 23KW. The process is virtually simulated on the AUTOMATION STUDIO software (version 6.2). The intelligent control strategy used in the present work is based on fuzzy logic that uses human intelligence for a particular desired outcome. The effectiveness of the recommended controller is contrasted with that of a conventional PID controller in the following paper.</description><identifier>ISSN: 1742-6588</identifier><identifier>EISSN: 1742-6596</identifier><identifier>DOI: 10.1088/1742-6596/1276/1/012001</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Automation Studio ; Circuits ; Controllers ; Conventional Controller ; Dynamic models ; Fluid power ; Fuzzy logic ; Fuzzy Logic Controller ; Physics ; Power rating ; Proportional integral derivative ; Rotor blades ; Rotor blades (turbomachinery) ; Torque ; Turbines ; Wind Turbine ; Wind turbines</subject><ispartof>Journal of physics. Conference series, 2019-08, Vol.1276 (1), p.12001</ispartof><rights>Published under licence by IOP Publishing Ltd</rights><rights>2019. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2741-61563b57e4d8195dd54fbe4c9c2a9f05d29f90665e03ee60c9eab3a237da4b3a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://iopscience.iop.org/article/10.1088/1742-6596/1276/1/012001/pdf$$EPDF$$P50$$Giop$$Hfree_for_read</linktopdf><link.rule.ids>314,776,780,27901,27902,38845,38867,53815,53842</link.rule.ids></links><search><creatorcontrib>Mungekar, Abhishek</creatorcontrib><creatorcontrib>Venkatesan, Kalaichelvi</creatorcontrib><creatorcontrib>Ramanujam, Karthikeyan</creatorcontrib><creatorcontrib>Savio Lourence, Jason</creatorcontrib><title>Intelligent Control Approach for Fluid Power Transmission of a Wind Turbine System</title><title>Journal of physics. Conference series</title><addtitle>J. Phys.: Conf. Ser</addtitle><description>Fluid power transmission has caught the eye in recent times, in the field of wind turbine technology. The turbine rotor blades tend to yield an aerodynamic torque, which is transformed into a high pressure fluid through a pump. This fluid is utilized to generate speed and torque yet again at the distant end of the circuit. The paramount objective of this research is to obtain a virtually operating dynamic model of a hydraulic powered transmission in a wind turbine, in order to understand its dynamic behaviour and also, to obtain knowledge about the influence of the prime parameters on the wind turbine. To accomplish this task, a virtual hydraulic powered wind turbine system is designed with a power rating of 23KW. The process is virtually simulated on the AUTOMATION STUDIO software (version 6.2). The intelligent control strategy used in the present work is based on fuzzy logic that uses human intelligence for a particular desired outcome. The effectiveness of the recommended controller is contrasted with that of a conventional PID controller in the following paper.</description><subject>Automation Studio</subject><subject>Circuits</subject><subject>Controllers</subject><subject>Conventional Controller</subject><subject>Dynamic models</subject><subject>Fluid power</subject><subject>Fuzzy logic</subject><subject>Fuzzy Logic Controller</subject><subject>Physics</subject><subject>Power rating</subject><subject>Proportional integral derivative</subject><subject>Rotor blades</subject><subject>Rotor blades (turbomachinery)</subject><subject>Torque</subject><subject>Turbines</subject><subject>Wind Turbine</subject><subject>Wind turbines</subject><issn>1742-6588</issn><issn>1742-6596</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>O3W</sourceid><sourceid>BENPR</sourceid><recordid>eNqFkG9LwzAQxosoOKefwYDvhLr8aZLm5ShOJwPFTXwZ0jbVjC6pSYvs29tSmQiC9-Lu4J7n7vhF0SWCNwim6QzxBMeMCjZDmPdpBhGGEB1Fk8Pk-NCn6Wl0FsIWQtIHn0TPS9vqujZv2rYgc7b1rgbzpvFOFe-gch4s6s6U4Ml9ag82XtmwMyEYZ4GrgAKvxpZg0_ncWA3W-9Dq3Xl0Uqk66IvvOo1eFreb7D5ePd4ts_kqLjBPUMwQZSSnXCdligQtS5pUuU4KUWAlKkhLLCoBGaMaEq0ZLIRWOVGY8FIlfUOm0dW4t3_2o9OhlVvXeduflJgyzpmAGPYqPqoK70LwupKNNzvl9xJBOQCUAxo5YJIDQInkCLB3ktFpXPOz-n_X9R-uh6ds_Vsom7IiX3Rhf6U</recordid><startdate>20190801</startdate><enddate>20190801</enddate><creator>Mungekar, Abhishek</creator><creator>Venkatesan, Kalaichelvi</creator><creator>Ramanujam, Karthikeyan</creator><creator>Savio Lourence, Jason</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>H8D</scope><scope>HCIFZ</scope><scope>L7M</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20190801</creationdate><title>Intelligent Control Approach for Fluid Power Transmission of a Wind Turbine System</title><author>Mungekar, Abhishek ; Venkatesan, Kalaichelvi ; Ramanujam, Karthikeyan ; Savio Lourence, Jason</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2741-61563b57e4d8195dd54fbe4c9c2a9f05d29f90665e03ee60c9eab3a237da4b3a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Automation Studio</topic><topic>Circuits</topic><topic>Controllers</topic><topic>Conventional Controller</topic><topic>Dynamic models</topic><topic>Fluid power</topic><topic>Fuzzy logic</topic><topic>Fuzzy Logic Controller</topic><topic>Physics</topic><topic>Power rating</topic><topic>Proportional integral derivative</topic><topic>Rotor blades</topic><topic>Rotor blades (turbomachinery)</topic><topic>Torque</topic><topic>Turbines</topic><topic>Wind Turbine</topic><topic>Wind turbines</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mungekar, Abhishek</creatorcontrib><creatorcontrib>Venkatesan, Kalaichelvi</creatorcontrib><creatorcontrib>Ramanujam, Karthikeyan</creatorcontrib><creatorcontrib>Savio Lourence, Jason</creatorcontrib><collection>Institute of Physics Open Access Journal Titles</collection><collection>IOPscience (Open Access)</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Database (1962 - current)</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Aerospace Database</collection><collection>SciTech Premium Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ProQuest advanced technologies & aerospace journals</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Journal of physics. Conference series</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mungekar, Abhishek</au><au>Venkatesan, Kalaichelvi</au><au>Ramanujam, Karthikeyan</au><au>Savio Lourence, Jason</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Intelligent Control Approach for Fluid Power Transmission of a Wind Turbine System</atitle><jtitle>Journal of physics. Conference series</jtitle><addtitle>J. Phys.: Conf. Ser</addtitle><date>2019-08-01</date><risdate>2019</risdate><volume>1276</volume><issue>1</issue><spage>12001</spage><pages>12001-</pages><issn>1742-6588</issn><eissn>1742-6596</eissn><abstract>Fluid power transmission has caught the eye in recent times, in the field of wind turbine technology. The turbine rotor blades tend to yield an aerodynamic torque, which is transformed into a high pressure fluid through a pump. This fluid is utilized to generate speed and torque yet again at the distant end of the circuit. The paramount objective of this research is to obtain a virtually operating dynamic model of a hydraulic powered transmission in a wind turbine, in order to understand its dynamic behaviour and also, to obtain knowledge about the influence of the prime parameters on the wind turbine. To accomplish this task, a virtual hydraulic powered wind turbine system is designed with a power rating of 23KW. The process is virtually simulated on the AUTOMATION STUDIO software (version 6.2). The intelligent control strategy used in the present work is based on fuzzy logic that uses human intelligence for a particular desired outcome. The effectiveness of the recommended controller is contrasted with that of a conventional PID controller in the following paper.</abstract><cop>Bristol</cop><pub>IOP Publishing</pub><doi>10.1088/1742-6596/1276/1/012001</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1742-6588 |
| ispartof | Journal of physics. Conference series, 2019-08, Vol.1276 (1), p.12001 |
| issn | 1742-6588 1742-6596 |
| language | eng |
| recordid | cdi_proquest_journals_2567769020 |
| source | Institute of Physics IOPscience extra; Free E-Journal (出版社公開部分のみ）; Institute of Physics Open Access Journal Titles; Alma/SFX Local Collection; Free Full-Text Journals in Chemistry |
| subjects | Automation Studio Circuits Controllers Conventional Controller Dynamic models Fluid power Fuzzy logic Fuzzy Logic Controller Physics Power rating Proportional integral derivative Rotor blades Rotor blades (turbomachinery) Torque Turbines Wind Turbine Wind turbines |
| title | Intelligent Control Approach for Fluid Power Transmission of a Wind Turbine System |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-29T06%3A33%3A12IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_iop_j&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Intelligent%20Control%20Approach%20for%20Fluid%20Power%20Transmission%20of%20a%20Wind%20Turbine%20System&rft.jtitle=Journal%20of%20physics.%20Conference%20series&rft.au=Mungekar,%20Abhishek&rft.date=2019-08-01&rft.volume=1276&rft.issue=1&rft.spage=12001&rft.pages=12001-&rft.issn=1742-6588&rft.eissn=1742-6596&rft_id=info:doi/10.1088/1742-6596/1276/1/012001&rft_dat=%3Cproquest_iop_j%3E2567769020%3C/proquest_iop_j%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2567769020&rft_id=info:pmid/&rfr_iscdi=true |