A digital signal processing approach to real-time AC motor modeling
Discrete-time computational models of squirrel-cage AC motors are derived and analyzed for the purpose of advanced motor control. The starting point is a continuous-time model defined by a pair of simultaneous complex-coefficient differential equations. Discrete-time models are derived using both th...
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| Veröffentlicht in: | IEEE transactions on industrial electronics (1982) 1992-02, Vol.39 (1), p.36-45 |
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| container_title | IEEE transactions on industrial electronics (1982) |
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| creator | Vainio, O. Ovaska, S.J. Pasanen, J.J. |
| description | Discrete-time computational models of squirrel-cage AC motors are derived and analyzed for the purpose of advanced motor control. The starting point is a continuous-time model defined by a pair of simultaneous complex-coefficient differential equations. Discrete-time models are derived using both the bilinear transformation and the forward-difference approximation. The exact dependence between stability and the minimum sampling rate in the forward-difference approach is shown. The responses of the two discretized models are compared using real-world motor parameters. Using the forward difference method, a more compact implementation is obtained (although a higher sampling rate is required) as compared to the bilinear transformed model of equivalent performance and 2.7 times higher computational complexity. A 16/24-b DSP-ASIC coprocessor prototype implementing the AC motor model is introduced.< > |
| doi_str_mv | 10.1109/41.121910 |
| format | Article |
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The starting point is a continuous-time model defined by a pair of simultaneous complex-coefficient differential equations. Discrete-time models are derived using both the bilinear transformation and the forward-difference approximation. The exact dependence between stability and the minimum sampling rate in the forward-difference approach is shown. The responses of the two discretized models are compared using real-world motor parameters. Using the forward difference method, a more compact implementation is obtained (although a higher sampling rate is required) as compared to the bilinear transformed model of equivalent performance and 2.7 times higher computational complexity. A 16/24-b DSP-ASIC coprocessor prototype implementing the AC motor model is introduced.< ></description><identifier>ISSN: 0278-0046</identifier><identifier>EISSN: 1557-9948</identifier><identifier>DOI: 10.1109/41.121910</identifier><identifier>CODEN: ITIED6</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>A.c. Machines ; AC motors ; Applied sciences ; Computational complexity ; Computational modeling ; Coprocessors ; Differential equations ; Digital signal processing ; Electrical engineering. 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The starting point is a continuous-time model defined by a pair of simultaneous complex-coefficient differential equations. Discrete-time models are derived using both the bilinear transformation and the forward-difference approximation. The exact dependence between stability and the minimum sampling rate in the forward-difference approach is shown. The responses of the two discretized models are compared using real-world motor parameters. Using the forward difference method, a more compact implementation is obtained (although a higher sampling rate is required) as compared to the bilinear transformed model of equivalent performance and 2.7 times higher computational complexity. A 16/24-b DSP-ASIC coprocessor prototype implementing the AC motor model is introduced.< ></description><subject>A.c. Machines</subject><subject>AC motors</subject><subject>Applied sciences</subject><subject>Computational complexity</subject><subject>Computational modeling</subject><subject>Coprocessors</subject><subject>Differential equations</subject><subject>Digital signal processing</subject><subject>Electrical engineering. Electrical power engineering</subject><subject>Electrical machines</subject><subject>Exact sciences and technology</subject><subject>Motor drives</subject><subject>Prototypes</subject><subject>Sampling methods</subject><subject>Stability</subject><issn>0278-0046</issn><issn>1557-9948</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1992</creationdate><recordtype>article</recordtype><recordid>eNqFkM1LxDAQxYMouK4evHrqQQQPXZMmaZLjUvyCBS96LtN0ukbSdk26B_97I1306GUeM_zeY3iEXDK6YoyaO8FWrGCG0SOyYFKq3Bihj8mCFkrnlIrylJzF-EEpE5LJBanWWeu2bgKfRbcdkuzCaDFGN2wz2KUF7Hs2jVlA8PnkeszWVdaP0xjSbNEn7pycdOAjXhx0Sd4e7l-rp3zz8vhcrTe55VxNeWOopiUYyTmg0qo1qkHDbaO0BQtN25QgS9payTukBRowtjDpKrRKzo4vyc2cm7763GOc6t5Fi97DgOM-1oVhWkpB_wd1UVCheQJvZ9CGMcaAXb0LrofwVTNa__RZC1bPfSb2-hAK0YLvAgzWxV-DZKYUgiXsasYcIv7FzRnfNHt7xA</recordid><startdate>19920201</startdate><enddate>19920201</enddate><creator>Vainio, O.</creator><creator>Ovaska, S.J.</creator><creator>Pasanen, J.J.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope><scope>7TB</scope><scope>FR3</scope></search><sort><creationdate>19920201</creationdate><title>A digital signal processing approach to real-time AC motor modeling</title><author>Vainio, O. ; Ovaska, S.J. ; Pasanen, J.J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c337t-b90806a9533ae787d97be93cb78cacabdb6a560dc53fe02e9a9c29db6487080f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1992</creationdate><topic>A.c. Machines</topic><topic>AC motors</topic><topic>Applied sciences</topic><topic>Computational complexity</topic><topic>Computational modeling</topic><topic>Coprocessors</topic><topic>Differential equations</topic><topic>Digital signal processing</topic><topic>Electrical engineering. Electrical power engineering</topic><topic>Electrical machines</topic><topic>Exact sciences and technology</topic><topic>Motor drives</topic><topic>Prototypes</topic><topic>Sampling methods</topic><topic>Stability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Vainio, O.</creatorcontrib><creatorcontrib>Ovaska, S.J.</creatorcontrib><creatorcontrib>Pasanen, J.J.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Engineering Research Database</collection><jtitle>IEEE transactions on industrial electronics (1982)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Vainio, O.</au><au>Ovaska, S.J.</au><au>Pasanen, J.J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A digital signal processing approach to real-time AC motor modeling</atitle><jtitle>IEEE transactions on industrial electronics (1982)</jtitle><stitle>TIE</stitle><date>1992-02-01</date><risdate>1992</risdate><volume>39</volume><issue>1</issue><spage>36</spage><epage>45</epage><pages>36-45</pages><issn>0278-0046</issn><eissn>1557-9948</eissn><coden>ITIED6</coden><abstract>Discrete-time computational models of squirrel-cage AC motors are derived and analyzed for the purpose of advanced motor control. The starting point is a continuous-time model defined by a pair of simultaneous complex-coefficient differential equations. Discrete-time models are derived using both the bilinear transformation and the forward-difference approximation. The exact dependence between stability and the minimum sampling rate in the forward-difference approach is shown. The responses of the two discretized models are compared using real-world motor parameters. Using the forward difference method, a more compact implementation is obtained (although a higher sampling rate is required) as compared to the bilinear transformed model of equivalent performance and 2.7 times higher computational complexity. A 16/24-b DSP-ASIC coprocessor prototype implementing the AC motor model is introduced.< ></abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/41.121910</doi><tpages>10</tpages></addata></record> |
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| identifier | ISSN: 0278-0046 |
| ispartof | IEEE transactions on industrial electronics (1982), 1992-02, Vol.39 (1), p.36-45 |
| issn | 0278-0046 1557-9948 |
| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | A.c. Machines AC motors Applied sciences Computational complexity Computational modeling Coprocessors Differential equations Digital signal processing Electrical engineering. Electrical power engineering Electrical machines Exact sciences and technology Motor drives Prototypes Sampling methods Stability |
| title | A digital signal processing approach to real-time AC motor modeling |
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