Sensorless Speed Estimation of Brushless Doubly-Fed Reluctance Generator Using Active Power Based MRAS
This paper proposes an active power based model reference adaptive system for sensorless speed estimation of primary field oriented brushless doubly-fed reluctance generator (BDFRG). In this regard, the active power associated with secondary winding of BDFRG is used for the process of speed estimati...
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| Veröffentlicht in: | IEEE transactions on power electronics 2019-08, Vol.34 (8), p.7878-7886 |
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| container_title | IEEE transactions on power electronics |
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| creator | Kumar, Mukesh Das, Sukanta Kiran, Karuna |
| description | This paper proposes an active power based model reference adaptive system for sensorless speed estimation of primary field oriented brushless doubly-fed reluctance generator (BDFRG). In this regard, the active power associated with secondary winding of BDFRG is used for the process of speed estimation. BDFRG is more reliable and requires less maintenance. Its structural advantages demonstrate higher working efficiency and lower losses as compared to equivalent doubly-fed induction machines. Moreover, active power of BDFRG can be controlled by suitable speed regulation, which in turn can be achieved by a low rating bidirectional converter connected to the stator secondary (i.e., control) winding. These inherent features make BDFRG as a prospective candidate in the applications like wind and tidal power generation. The efficacy of the proposed control technique is established by a 1.6 kW BDFRG in Matlab /Simulink. A dSPACE-1103 based laboratory prototype is used for the hardware validation. |
| doi_str_mv | 10.1109/TPEL.2018.2882473 |
| format | Article |
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In this regard, the active power associated with secondary winding of BDFRG is used for the process of speed estimation. BDFRG is more reliable and requires less maintenance. Its structural advantages demonstrate higher working efficiency and lower losses as compared to equivalent doubly-fed induction machines. Moreover, active power of BDFRG can be controlled by suitable speed regulation, which in turn can be achieved by a low rating bidirectional converter connected to the stator secondary (i.e., control) winding. These inherent features make BDFRG as a prospective candidate in the applications like wind and tidal power generation. The efficacy of the proposed control technique is established by a 1.6 kW BDFRG in Matlab /Simulink. A dSPACE-1103 based laboratory prototype is used for the hardware validation.</description><identifier>ISSN: 0885-8993</identifier><identifier>EISSN: 1941-0107</identifier><identifier>DOI: 10.1109/TPEL.2018.2882473</identifier><identifier>CODEN: ITPEE8</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Active power ; Adaptation models ; Adaptive systems ; Control systems ; Converters ; doubly-fed ; Electric power generation ; Estimation ; Induction motors ; Mathematical model ; Model reference adaptive control ; model reference adaptive system (MRAS) ; primary field orientation ; Reluctance ; reluctance machine ; Rotors ; Stator windings ; Tidal energy ; Tidal power generation ; Winding ; Windings</subject><ispartof>IEEE transactions on power electronics, 2019-08, Vol.34 (8), p.7878-7886</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c341t-770d8e6b2021aca3096b5d96c7b0337575dfce74fe23a4141f027f5830580f153</citedby><cites>FETCH-LOGICAL-c341t-770d8e6b2021aca3096b5d96c7b0337575dfce74fe23a4141f027f5830580f153</cites><orcidid>0000-0002-6697-468X ; 0000-0003-4233-9865 ; 0000-0001-9938-403X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8540851$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/8540851$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Kumar, Mukesh</creatorcontrib><creatorcontrib>Das, Sukanta</creatorcontrib><creatorcontrib>Kiran, Karuna</creatorcontrib><title>Sensorless Speed Estimation of Brushless Doubly-Fed Reluctance Generator Using Active Power Based MRAS</title><title>IEEE transactions on power electronics</title><addtitle>TPEL</addtitle><description>This paper proposes an active power based model reference adaptive system for sensorless speed estimation of primary field oriented brushless doubly-fed reluctance generator (BDFRG). In this regard, the active power associated with secondary winding of BDFRG is used for the process of speed estimation. BDFRG is more reliable and requires less maintenance. Its structural advantages demonstrate higher working efficiency and lower losses as compared to equivalent doubly-fed induction machines. Moreover, active power of BDFRG can be controlled by suitable speed regulation, which in turn can be achieved by a low rating bidirectional converter connected to the stator secondary (i.e., control) winding. These inherent features make BDFRG as a prospective candidate in the applications like wind and tidal power generation. The efficacy of the proposed control technique is established by a 1.6 kW BDFRG in Matlab /Simulink. A dSPACE-1103 based laboratory prototype is used for the hardware validation.</description><subject>Active power</subject><subject>Adaptation models</subject><subject>Adaptive systems</subject><subject>Control systems</subject><subject>Converters</subject><subject>doubly-fed</subject><subject>Electric power generation</subject><subject>Estimation</subject><subject>Induction motors</subject><subject>Mathematical model</subject><subject>Model reference adaptive control</subject><subject>model reference adaptive system (MRAS)</subject><subject>primary field orientation</subject><subject>Reluctance</subject><subject>reluctance machine</subject><subject>Rotors</subject><subject>Stator windings</subject><subject>Tidal energy</subject><subject>Tidal power generation</subject><subject>Winding</subject><subject>Windings</subject><issn>0885-8993</issn><issn>1941-0107</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kE1PwkAQhjdGExH9AcbLJp6LM7tddnsEBTTBSPg4N22Z1RLs4m6r4d9bhHiawzzvO5mHsVuEHiIkD8vZaNoTgKYnjBGxlmesg0mMESDoc9YBY1RkkkResqsQNgAYK8AOswuqgvNbCoEvdkRrPgp1-ZnVpau4s3zom_Dxt31yTb7dR-MWmdO2KeqsKohPqCKf1c7zVSirdz4o6vKb-Mz9kOfDLLT063ywuGYXNtsGujnNLluNR8vH52j6Nnl5HEyjQsZYR1rD2lA_FyAwKzIJST9X66Rf6Byk1EqrtS1Ix5aEzGKM0YLQVhkJyoBFJbvs_ti78-6roVCnG9f4qj2ZCiHR9I00uqXwSBXeheDJpjvf_uz3KUJ60JkedKYHnelJZ5u5O2ZKIvrnjYrBKJS_QX9wHQ</recordid><startdate>20190801</startdate><enddate>20190801</enddate><creator>Kumar, Mukesh</creator><creator>Das, Sukanta</creator><creator>Kiran, Karuna</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-6697-468X</orcidid><orcidid>https://orcid.org/0000-0003-4233-9865</orcidid><orcidid>https://orcid.org/0000-0001-9938-403X</orcidid></search><sort><creationdate>20190801</creationdate><title>Sensorless Speed Estimation of Brushless Doubly-Fed Reluctance Generator Using Active Power Based MRAS</title><author>Kumar, Mukesh ; Das, Sukanta ; Kiran, Karuna</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c341t-770d8e6b2021aca3096b5d96c7b0337575dfce74fe23a4141f027f5830580f153</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Active power</topic><topic>Adaptation models</topic><topic>Adaptive systems</topic><topic>Control systems</topic><topic>Converters</topic><topic>doubly-fed</topic><topic>Electric power generation</topic><topic>Estimation</topic><topic>Induction motors</topic><topic>Mathematical model</topic><topic>Model reference adaptive control</topic><topic>model reference adaptive system (MRAS)</topic><topic>primary field orientation</topic><topic>Reluctance</topic><topic>reluctance machine</topic><topic>Rotors</topic><topic>Stator windings</topic><topic>Tidal energy</topic><topic>Tidal power generation</topic><topic>Winding</topic><topic>Windings</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kumar, Mukesh</creatorcontrib><creatorcontrib>Das, Sukanta</creatorcontrib><creatorcontrib>Kiran, Karuna</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><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE transactions on power electronics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Kumar, Mukesh</au><au>Das, Sukanta</au><au>Kiran, Karuna</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sensorless Speed Estimation of Brushless Doubly-Fed Reluctance Generator Using Active Power Based MRAS</atitle><jtitle>IEEE transactions on power electronics</jtitle><stitle>TPEL</stitle><date>2019-08-01</date><risdate>2019</risdate><volume>34</volume><issue>8</issue><spage>7878</spage><epage>7886</epage><pages>7878-7886</pages><issn>0885-8993</issn><eissn>1941-0107</eissn><coden>ITPEE8</coden><abstract>This paper proposes an active power based model reference adaptive system for sensorless speed estimation of primary field oriented brushless doubly-fed reluctance generator (BDFRG). In this regard, the active power associated with secondary winding of BDFRG is used for the process of speed estimation. BDFRG is more reliable and requires less maintenance. Its structural advantages demonstrate higher working efficiency and lower losses as compared to equivalent doubly-fed induction machines. Moreover, active power of BDFRG can be controlled by suitable speed regulation, which in turn can be achieved by a low rating bidirectional converter connected to the stator secondary (i.e., control) winding. These inherent features make BDFRG as a prospective candidate in the applications like wind and tidal power generation. The efficacy of the proposed control technique is established by a 1.6 kW BDFRG in Matlab /Simulink. A dSPACE-1103 based laboratory prototype is used for the hardware validation.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TPEL.2018.2882473</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-6697-468X</orcidid><orcidid>https://orcid.org/0000-0003-4233-9865</orcidid><orcidid>https://orcid.org/0000-0001-9938-403X</orcidid></addata></record> |
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| subjects | Active power Adaptation models Adaptive systems Control systems Converters doubly-fed Electric power generation Estimation Induction motors Mathematical model Model reference adaptive control model reference adaptive system (MRAS) primary field orientation Reluctance reluctance machine Rotors Stator windings Tidal energy Tidal power generation Winding Windings |
| title | Sensorless Speed Estimation of Brushless Doubly-Fed Reluctance Generator Using Active Power Based MRAS |
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