Optimized design of induction motor parameters based on PSO (Particle Swarm Optimization)
This paper elaborates using particle swarm optimization (PSO) algorithm to solve the problem that the operating efficiency of induction motor is too low. In this paper, optimizing the structure parameters for induction motor design is proposed. The presented method is based on the principle that the...
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| creator | Ping Guo Dagui Huang Daiwei Feng Wenzheng Yu Hailong Zhang |
| description | This paper elaborates using particle swarm optimization (PSO) algorithm to solve the problem that the operating efficiency of induction motor is too low. In this paper, optimizing the structure parameters for induction motor design is proposed. The presented method is based on the principle that the induction motor structure parameters have complex relationship with efficiency; its advantage is that it can find the optimized structure parameters to output maximum efficiency when the motor operates in some conditions. It is demonstrated PSO algorithm is so efficient in finding the optimum structure parameters; for avoiding the algorithm running into local optimization, this paper adjusts the inertia factor during the iterative process. The simulation result shows that using PSO algorithm can find out the optimum structure parameters. |
| doi_str_mv | 10.1109/ICMA.2012.6283251 |
| format | Conference Proceeding |
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In this paper, optimizing the structure parameters for induction motor design is proposed. The presented method is based on the principle that the induction motor structure parameters have complex relationship with efficiency; its advantage is that it can find the optimized structure parameters to output maximum efficiency when the motor operates in some conditions. It is demonstrated PSO algorithm is so efficient in finding the optimum structure parameters; for avoiding the algorithm running into local optimization, this paper adjusts the inertia factor during the iterative process. The simulation result shows that using PSO algorithm can find out the optimum structure parameters.</description><identifier>ISSN: 2152-7431</identifier><identifier>ISBN: 9781467312752</identifier><identifier>ISBN: 1467312754</identifier><identifier>EISSN: 2152-744X</identifier><identifier>EISBN: 9781467312776</identifier><identifier>EISBN: 1467312789</identifier><identifier>EISBN: 1467312770</identifier><identifier>EISBN: 9781467312783</identifier><identifier>DOI: 10.1109/ICMA.2012.6283251</identifier><language>eng</language><publisher>IEEE</publisher><subject>Automation ; Conferences ; induction motor ; maximum efficiency ; Mechatronics ; particle swarm optimization (PSO) ; structure parameter</subject><ispartof>2012 IEEE International Conference on Mechatronics and Automation, 2012, p.837-842</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6283251$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6283251$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Ping Guo</creatorcontrib><creatorcontrib>Dagui Huang</creatorcontrib><creatorcontrib>Daiwei Feng</creatorcontrib><creatorcontrib>Wenzheng Yu</creatorcontrib><creatorcontrib>Hailong Zhang</creatorcontrib><title>Optimized design of induction motor parameters based on PSO (Particle Swarm Optimization)</title><title>2012 IEEE International Conference on Mechatronics and Automation</title><addtitle>ICMA</addtitle><description>This paper elaborates using particle swarm optimization (PSO) algorithm to solve the problem that the operating efficiency of induction motor is too low. In this paper, optimizing the structure parameters for induction motor design is proposed. The presented method is based on the principle that the induction motor structure parameters have complex relationship with efficiency; its advantage is that it can find the optimized structure parameters to output maximum efficiency when the motor operates in some conditions. It is demonstrated PSO algorithm is so efficient in finding the optimum structure parameters; for avoiding the algorithm running into local optimization, this paper adjusts the inertia factor during the iterative process. The simulation result shows that using PSO algorithm can find out the optimum structure parameters.</description><subject>Automation</subject><subject>Conferences</subject><subject>induction motor</subject><subject>maximum efficiency</subject><subject>Mechatronics</subject><subject>particle swarm optimization (PSO)</subject><subject>structure parameter</subject><issn>2152-7431</issn><issn>2152-744X</issn><isbn>9781467312752</isbn><isbn>1467312754</isbn><isbn>9781467312776</isbn><isbn>1467312789</isbn><isbn>1467312770</isbn><isbn>9781467312783</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVkEtLw0AUhccXWGp-gLiZpS4S5z2TZSk-CpUU2oWuyk1mIiPNg5mI6K83YhA8XDiL79yzOAhdUpJRSvLb1fJpkTFCWaaY4UzSI5Tk2lChNKdMa3WMZoxKlmohnk_-MclO_xin5yiJ8Y2MGhM0lzP0UvSDb_yXs9i66F9b3NXYt_a9GnzX4qYbuoB7CNC4wYWIS4hjdCSbbYGvNxAGXx0c3n5AaPDUBT-vNxforIZDdMnkc7S7v9stH9N18bBaLtapz8mQllxKzhmtuKh5bQiRNVcahDWCWdCWK0JyYypXqvGkqkoChDihpdHWAfA5uvqt9c65fR98A-FzP-3EvwGqc1dR</recordid><startdate>201208</startdate><enddate>201208</enddate><creator>Ping Guo</creator><creator>Dagui Huang</creator><creator>Daiwei Feng</creator><creator>Wenzheng Yu</creator><creator>Hailong Zhang</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201208</creationdate><title>Optimized design of induction motor parameters based on PSO (Particle Swarm Optimization)</title><author>Ping Guo ; Dagui Huang ; Daiwei Feng ; Wenzheng Yu ; Hailong Zhang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-b3553321c34f3f8005f367a4d842da7d3600988ceb6eb656cb0a00e47587deaa3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Automation</topic><topic>Conferences</topic><topic>induction motor</topic><topic>maximum efficiency</topic><topic>Mechatronics</topic><topic>particle swarm optimization (PSO)</topic><topic>structure parameter</topic><toplevel>online_resources</toplevel><creatorcontrib>Ping Guo</creatorcontrib><creatorcontrib>Dagui Huang</creatorcontrib><creatorcontrib>Daiwei Feng</creatorcontrib><creatorcontrib>Wenzheng Yu</creatorcontrib><creatorcontrib>Hailong Zhang</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 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>Ping Guo</au><au>Dagui Huang</au><au>Daiwei Feng</au><au>Wenzheng Yu</au><au>Hailong Zhang</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Optimized design of induction motor parameters based on PSO (Particle Swarm Optimization)</atitle><btitle>2012 IEEE International Conference on Mechatronics and Automation</btitle><stitle>ICMA</stitle><date>2012-08</date><risdate>2012</risdate><spage>837</spage><epage>842</epage><pages>837-842</pages><issn>2152-7431</issn><eissn>2152-744X</eissn><isbn>9781467312752</isbn><isbn>1467312754</isbn><eisbn>9781467312776</eisbn><eisbn>1467312789</eisbn><eisbn>1467312770</eisbn><eisbn>9781467312783</eisbn><abstract>This paper elaborates using particle swarm optimization (PSO) algorithm to solve the problem that the operating efficiency of induction motor is too low. In this paper, optimizing the structure parameters for induction motor design is proposed. The presented method is based on the principle that the induction motor structure parameters have complex relationship with efficiency; its advantage is that it can find the optimized structure parameters to output maximum efficiency when the motor operates in some conditions. It is demonstrated PSO algorithm is so efficient in finding the optimum structure parameters; for avoiding the algorithm running into local optimization, this paper adjusts the inertia factor during the iterative process. The simulation result shows that using PSO algorithm can find out the optimum structure parameters.</abstract><pub>IEEE</pub><doi>10.1109/ICMA.2012.6283251</doi><tpages>6</tpages></addata></record> |
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| issn | 2152-7431 2152-744X |
| language | eng |
| recordid | cdi_ieee_primary_6283251 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Automation Conferences induction motor maximum efficiency Mechatronics particle swarm optimization (PSO) structure parameter |
| title | Optimized design of induction motor parameters based on PSO (Particle Swarm Optimization) |
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