Adaptive PID control of high-voltage power supply for ECRH on RBF network
The high negative voltage power supply for the ECRH (Electron Cyclotron Resonance Heating) is a key component of the cyclotron. This system is the nonlinear system with the high requirements on static and dynamic performance. It is difficult to control well using traditional PID controller, so a new...
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| creator | Pengying Du Xiaoping Luo Shaowu Du |
| description | The high negative voltage power supply for the ECRH (Electron Cyclotron Resonance Heating) is a key component of the cyclotron. This system is the nonlinear system with the high requirements on static and dynamic performance. It is difficult to control well using traditional PID controller, so a new intelligent method is adopted to turn PID parameters base on RBF Network. Simulation results show that the system has good dynamic and static performance. The steady-state accuracy is less than 0.3%, adjustment time is less than 200μs. And the system has strong robustness and adaptive capacity based on RBF. |
| doi_str_mv | 10.1109/ISKE.2010.5680750 |
| format | Conference Proceeding |
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This system is the nonlinear system with the high requirements on static and dynamic performance. It is difficult to control well using traditional PID controller, so a new intelligent method is adopted to turn PID parameters base on RBF Network. Simulation results show that the system has good dynamic and static performance. The steady-state accuracy is less than 0.3%, adjustment time is less than 200μs. And the system has strong robustness and adaptive capacity based on RBF.</description><identifier>ISBN: 1424467918</identifier><identifier>ISBN: 9781424467914</identifier><identifier>EISBN: 9781424467938</identifier><identifier>EISBN: 1424467934</identifier><identifier>EISBN: 9781424467921</identifier><identifier>EISBN: 1424467926</identifier><identifier>DOI: 10.1109/ISKE.2010.5680750</identifier><language>eng</language><publisher>IEEE</publisher><subject>Adaptive PID Control ; Adaptive systems ; Artificial neural networks ; Cyclotrons ; High Negative Voltage Power Supply ; nonlinear system ; Power supplies ; Power system dynamics ; Radial basis function networks ; RBF ; Voltage control</subject><ispartof>2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2010, p.556-558</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/5680750$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5680750$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Pengying Du</creatorcontrib><creatorcontrib>Xiaoping Luo</creatorcontrib><creatorcontrib>Shaowu Du</creatorcontrib><title>Adaptive PID control of high-voltage power supply for ECRH on RBF network</title><title>2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering</title><addtitle>ISKE</addtitle><description>The high negative voltage power supply for the ECRH (Electron Cyclotron Resonance Heating) is a key component of the cyclotron. This system is the nonlinear system with the high requirements on static and dynamic performance. It is difficult to control well using traditional PID controller, so a new intelligent method is adopted to turn PID parameters base on RBF Network. Simulation results show that the system has good dynamic and static performance. The steady-state accuracy is less than 0.3%, adjustment time is less than 200μs. And the system has strong robustness and adaptive capacity based on RBF.</description><subject>Adaptive PID Control</subject><subject>Adaptive systems</subject><subject>Artificial neural networks</subject><subject>Cyclotrons</subject><subject>High Negative Voltage Power Supply</subject><subject>nonlinear system</subject><subject>Power supplies</subject><subject>Power system dynamics</subject><subject>Radial basis function networks</subject><subject>RBF</subject><subject>Voltage control</subject><isbn>1424467918</isbn><isbn>9781424467914</isbn><isbn>9781424467938</isbn><isbn>1424467934</isbn><isbn>9781424467921</isbn><isbn>1424467926</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1j8tOwzAURI0QElDyAYjN_YEUx3b8WJbQ0ohKoNJ95STXbSDEkRNa9e-JRJnN6GyOZgi5T-g0Sah5zD9e51NGR0ylpiqlFyQySieCCSGV4fqS3P5Doq9J1PefdEzKFGfyhuSzynZDfUB4z5-h9O0QfAPewb7e7eODbwa7Q-j8EQP0P13XnMD5APNsvQTfwvppAS0ORx--7siVs02P0bknZLOYb7JlvHp7ybPZKq4NHWJk0mmOZeUKY40whbC6tBVWdFwoUHKlU8mpUSlqYx1TqLWsnGHa2cJQyifk4U9bI-K2C_W3Daft-Tz_BffPTI8</recordid><startdate>201011</startdate><enddate>201011</enddate><creator>Pengying Du</creator><creator>Xiaoping Luo</creator><creator>Shaowu Du</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201011</creationdate><title>Adaptive PID control of high-voltage power supply for ECRH on RBF network</title><author>Pengying Du ; Xiaoping Luo ; Shaowu Du</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-e26f83ecdfb9a949b4a8caded04674e63785630975e89af27e886df928fab9003</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Adaptive PID Control</topic><topic>Adaptive systems</topic><topic>Artificial neural networks</topic><topic>Cyclotrons</topic><topic>High Negative Voltage Power Supply</topic><topic>nonlinear system</topic><topic>Power supplies</topic><topic>Power system dynamics</topic><topic>Radial basis function networks</topic><topic>RBF</topic><topic>Voltage control</topic><toplevel>online_resources</toplevel><creatorcontrib>Pengying Du</creatorcontrib><creatorcontrib>Xiaoping Luo</creatorcontrib><creatorcontrib>Shaowu Du</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>Pengying Du</au><au>Xiaoping Luo</au><au>Shaowu Du</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Adaptive PID control of high-voltage power supply for ECRH on RBF network</atitle><btitle>2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering</btitle><stitle>ISKE</stitle><date>2010-11</date><risdate>2010</risdate><spage>556</spage><epage>558</epage><pages>556-558</pages><isbn>1424467918</isbn><isbn>9781424467914</isbn><eisbn>9781424467938</eisbn><eisbn>1424467934</eisbn><eisbn>9781424467921</eisbn><eisbn>1424467926</eisbn><abstract>The high negative voltage power supply for the ECRH (Electron Cyclotron Resonance Heating) is a key component of the cyclotron. This system is the nonlinear system with the high requirements on static and dynamic performance. It is difficult to control well using traditional PID controller, so a new intelligent method is adopted to turn PID parameters base on RBF Network. Simulation results show that the system has good dynamic and static performance. The steady-state accuracy is less than 0.3%, adjustment time is less than 200μs. And the system has strong robustness and adaptive capacity based on RBF.</abstract><pub>IEEE</pub><doi>10.1109/ISKE.2010.5680750</doi><tpages>3</tpages></addata></record> |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Adaptive PID Control Adaptive systems Artificial neural networks Cyclotrons High Negative Voltage Power Supply nonlinear system Power supplies Power system dynamics Radial basis function networks RBF Voltage control |
| title | Adaptive PID control of high-voltage power supply for ECRH on RBF network |
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