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On-line parameter identification of induction motor based On RLS algorithm
This article gives the detailed elaboration of the application of on-line parameter identification of induction motor based on RLS algorithm. Using the application recursion method of least square carries on the parameter identification can simplify the two-dimensional model, avoid the two-dimension...
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creator | Zhang Hu Gong Shu-juan Dong Zi-zhao |
description | This article gives the detailed elaboration of the application of on-line parameter identification of induction motor based on RLS algorithm. Using the application recursion method of least square carries on the parameter identification can simplify the two-dimensional model, avoid the two-dimensional matrix inversion operation question, and reduce the computation load. Solve the Butterworth digital filtering equation of state with the improved Euler numerical solution, figuring out the signal first derivative value and second derivative value in the meantime, which has avoided the influence of derivative discretization error, increased the operation precision. According to the massive simulations and experiments in view of the different power's electrical machinery studies, the experimental result has confirmed its good stability, consistency and accuracy. |
doi_str_mv | 10.1109/ICEMS.2013.6713208 |
format | conference_proceeding |
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Using the application recursion method of least square carries on the parameter identification can simplify the two-dimensional model, avoid the two-dimensional matrix inversion operation question, and reduce the computation load. Solve the Butterworth digital filtering equation of state with the improved Euler numerical solution, figuring out the signal first derivative value and second derivative value in the meantime, which has avoided the influence of derivative discretization error, increased the operation precision. According to the massive simulations and experiments in view of the different power's electrical machinery studies, the experimental result has confirmed its good stability, consistency and accuracy.</description><subject>Abstracts</subject><subject>Artificial intelligence</subject><subject>Educational institutions</subject><subject>Finite wordlength effects</subject><subject>Induction motor</subject><subject>on-line parameter identification</subject><subject>RLS (recursion method of least square)</subject><subject>Rotors</subject><subject>Stators</subject><isbn>9781479914463</isbn><isbn>9781479914470</isbn><isbn>1479914479</isbn><isbn>1479914460</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotj7tOwzAYRs2ABCp5AVj8Agm-X0ZUFSgKikRhrhz7NxjlUjlm4O2paKejbzmfDkK3lDSUEnu_XW9edw0jlDdKU86IuUCV1YYKbS0VQvErVC3LNyGEWqWV1dfopZvqIU2ADy67EQpknAJMJcXkXUnzhOeI0xR-_P8Y5zJn3LsFAu4m_NbusBs-55zK13iDLqMbFqjOXKGPx837-rluu6ft-qGtPWOi1BqO14Fbw3zw3JlItOsldVIyxo0JMkpPgMagPSW9BRskU0cqEpzoheErdHfyJgDYH3IaXf7dn4v5HzzMTE0</recordid><startdate>201310</startdate><enddate>201310</enddate><creator>Zhang Hu</creator><creator>Gong Shu-juan</creator><creator>Dong Zi-zhao</creator><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201310</creationdate><title>On-line parameter identification of induction motor based On RLS algorithm</title><author>Zhang Hu ; Gong Shu-juan ; Dong Zi-zhao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c224t-7e676d3982cdc3a8f07ab51a5522388d5f5c0e1fd7c10b9e9d526b9e60da4b483</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Abstracts</topic><topic>Artificial intelligence</topic><topic>Educational institutions</topic><topic>Finite wordlength effects</topic><topic>Induction motor</topic><topic>on-line parameter identification</topic><topic>RLS (recursion method of least square)</topic><topic>Rotors</topic><topic>Stators</topic><toplevel>online_resources</toplevel><creatorcontrib>Zhang Hu</creatorcontrib><creatorcontrib>Gong Shu-juan</creatorcontrib><creatorcontrib>Dong Zi-zhao</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Zhang Hu</au><au>Gong Shu-juan</au><au>Dong Zi-zhao</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>On-line parameter identification of induction motor based On RLS algorithm</atitle><btitle>2013 International Conference on Electrical Machines and Systems (ICEMS)</btitle><stitle>ICEMS</stitle><date>2013-10</date><risdate>2013</risdate><spage>2132</spage><epage>2137</epage><pages>2132-2137</pages><eisbn>9781479914463</eisbn><eisbn>9781479914470</eisbn><eisbn>1479914479</eisbn><eisbn>1479914460</eisbn><abstract>This article gives the detailed elaboration of the application of on-line parameter identification of induction motor based on RLS algorithm. Using the application recursion method of least square carries on the parameter identification can simplify the two-dimensional model, avoid the two-dimensional matrix inversion operation question, and reduce the computation load. Solve the Butterworth digital filtering equation of state with the improved Euler numerical solution, figuring out the signal first derivative value and second derivative value in the meantime, which has avoided the influence of derivative discretization error, increased the operation precision. According to the massive simulations and experiments in view of the different power's electrical machinery studies, the experimental result has confirmed its good stability, consistency and accuracy.</abstract><doi>10.1109/ICEMS.2013.6713208</doi><tpages>6</tpages></addata></record> |
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subjects | Abstracts Artificial intelligence Educational institutions Finite wordlength effects Induction motor on-line parameter identification RLS (recursion method of least square) Rotors Stators |
title | On-line parameter identification of induction motor based On RLS algorithm |
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