The space vector PWM for voltage source inverters using Artificial Neural Networks Based on FPGA
This paper presents space vector PWM algorithm for six- switch three-phase inverters (SSTPI) using Artificial Neural Networks (ANN) based on the ready-to-use field-programmable gate array (FPGA) technology. ANN is used to calculate ON-OFF time for six switches when given the angle and modulation ind...
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| creator | Hong Hee Lee Phan Quoc Dzung Le Minh Phuong Le Dinh Khoa Nguyen Truong Dan Vu |
| description | This paper presents space vector PWM algorithm for six- switch three-phase inverters (SSTPI) using Artificial Neural Networks (ANN) based on the ready-to-use field-programmable gate array (FPGA) technology. ANN is used to calculate ON-OFF time for six switches when given the angle and modulation index of required voltage space vector. This approach has the advantage of very fast implementation of an Space Vector PWM (SVPWM) algorithm that can increase the converter switching frequency, particularly when the field-programmable-gate-array (FPGA) technology is used in the modulator. This SVPWM is also validated experimentally using FPGA-XUP VIRTEX II PRO from Xilinx in SSTPI-IM system for under modulation mode and over modulation mode 1 and 2, extended to six-step mode, especially for 40khz-switching-frequency case. |
| doi_str_mv | 10.1109/IFOST.2010.5668003 |
| format | Conference Proceeding |
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ANN is used to calculate ON-OFF time for six switches when given the angle and modulation index of required voltage space vector. This approach has the advantage of very fast implementation of an Space Vector PWM (SVPWM) algorithm that can increase the converter switching frequency, particularly when the field-programmable-gate-array (FPGA) technology is used in the modulator. This SVPWM is also validated experimentally using FPGA-XUP VIRTEX II PRO from Xilinx in SSTPI-IM system for under modulation mode and over modulation mode 1 and 2, extended to six-step mode, especially for 40khz-switching-frequency case.</description><identifier>ISBN: 9781424490387</identifier><identifier>ISBN: 1424490383</identifier><identifier>EISBN: 9781424490363</identifier><identifier>EISBN: 1424490367</identifier><identifier>DOI: 10.1109/IFOST.2010.5668003</identifier><language>eng</language><publisher>IEEE</publisher><subject>Artificial Neural Network ; Artificial neural networks ; Educational institutions ; overmodulation ; Pulse-Width- Modulation ; Space vector ; undermodulation ; Voltage Source Inverter</subject><ispartof>International Forum on Strategic Technology 2010, 2010, p.396-401</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/5668003$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2057,27924,54919</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5668003$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Hong Hee Lee</creatorcontrib><creatorcontrib>Phan Quoc Dzung</creatorcontrib><creatorcontrib>Le Minh Phuong</creatorcontrib><creatorcontrib>Le Dinh Khoa</creatorcontrib><creatorcontrib>Nguyen Truong Dan Vu</creatorcontrib><title>The space vector PWM for voltage source inverters using Artificial Neural Networks Based on FPGA</title><title>International Forum on Strategic Technology 2010</title><addtitle>IFOST</addtitle><description>This paper presents space vector PWM algorithm for six- switch three-phase inverters (SSTPI) using Artificial Neural Networks (ANN) based on the ready-to-use field-programmable gate array (FPGA) technology. ANN is used to calculate ON-OFF time for six switches when given the angle and modulation index of required voltage space vector. This approach has the advantage of very fast implementation of an Space Vector PWM (SVPWM) algorithm that can increase the converter switching frequency, particularly when the field-programmable-gate-array (FPGA) technology is used in the modulator. 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ANN is used to calculate ON-OFF time for six switches when given the angle and modulation index of required voltage space vector. This approach has the advantage of very fast implementation of an Space Vector PWM (SVPWM) algorithm that can increase the converter switching frequency, particularly when the field-programmable-gate-array (FPGA) technology is used in the modulator. This SVPWM is also validated experimentally using FPGA-XUP VIRTEX II PRO from Xilinx in SSTPI-IM system for under modulation mode and over modulation mode 1 and 2, extended to six-step mode, especially for 40khz-switching-frequency case.</abstract><pub>IEEE</pub><doi>10.1109/IFOST.2010.5668003</doi><tpages>6</tpages></addata></record> |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Artificial Neural Network Artificial neural networks Educational institutions overmodulation Pulse-Width- Modulation Space vector undermodulation Voltage Source Inverter |
| title | The space vector PWM for voltage source inverters using Artificial Neural Networks Based on FPGA |
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