The fuzzy PID gain conditioner: algorithm, architecture and FPGA implementation
In many control cases, we encounter the problem of tuning the coefficients of PID controllers. The often used methods such as the Ziegler-Nichols method can not guarantee to be the most effective one. This paper proposes a fuzzy PID gain conditioner algorithm (FPGA), a method based on the fuzzy cont...
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creator | Bao-Sheng Hu Jing Li |
description | In many control cases, we encounter the problem of tuning the coefficients of PID controllers. The often used methods such as the Ziegler-Nichols method can not guarantee to be the most effective one. This paper proposes a fuzzy PID gain conditioner algorithm (FPGA), a method based on the fuzzy control, which tunes the PID controller online. We probe into the VLSI architecture of the algorithm. The FPGA prototype implementation based on this VLSI structure is also given. Finally, a virtual control system is used to test the effectiveness of the design. The results obtained are encouraging. |
doi_str_mv | 10.1109/ICIT.1996.601666 |
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The often used methods such as the Ziegler-Nichols method can not guarantee to be the most effective one. This paper proposes a fuzzy PID gain conditioner algorithm (FPGA), a method based on the fuzzy control, which tunes the PID controller online. We probe into the VLSI architecture of the algorithm. The FPGA prototype implementation based on this VLSI structure is also given. Finally, a virtual control system is used to test the effectiveness of the design. The results obtained are encouraging.</description><identifier>ISBN: 9780780331044</identifier><identifier>ISBN: 0780331044</identifier><identifier>DOI: 10.1109/ICIT.1996.601666</identifier><language>eng</language><publisher>IEEE</publisher><subject>Control systems ; Field programmable gate arrays ; Fuzzy control ; Fuzzy sets ; Hardware ; Inference algorithms ; Prototypes ; System testing ; Three-term control ; Very large scale integration</subject><ispartof>Proceedings of the IEEE International Conference on Industrial Technology (ICIT'96), 1996, p.621-624</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/601666$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,4036,4037,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/601666$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Bao-Sheng Hu</creatorcontrib><creatorcontrib>Jing Li</creatorcontrib><title>The fuzzy PID gain conditioner: algorithm, architecture and FPGA implementation</title><title>Proceedings of the IEEE International Conference on Industrial Technology (ICIT'96)</title><addtitle>ICIT</addtitle><description>In many control cases, we encounter the problem of tuning the coefficients of PID controllers. The often used methods such as the Ziegler-Nichols method can not guarantee to be the most effective one. This paper proposes a fuzzy PID gain conditioner algorithm (FPGA), a method based on the fuzzy control, which tunes the PID controller online. We probe into the VLSI architecture of the algorithm. The FPGA prototype implementation based on this VLSI structure is also given. Finally, a virtual control system is used to test the effectiveness of the design. The results obtained are encouraging.</description><subject>Control systems</subject><subject>Field programmable gate arrays</subject><subject>Fuzzy control</subject><subject>Fuzzy sets</subject><subject>Hardware</subject><subject>Inference algorithms</subject><subject>Prototypes</subject><subject>System testing</subject><subject>Three-term control</subject><subject>Very large scale integration</subject><isbn>9780780331044</isbn><isbn>0780331044</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1996</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNp9jk0LgkAURQciKMp9tHo_oGwGxynbRZ-ucuFeBn3qhI4yTov89Rm17nLhLC4HLiELRl3GaLAJj2HssiAQrqBMCDEiTrDd0aGexyjnE-J03YMO4T71fT4l97hEyJ99_4IoPEEhlYa00ZmyqtFo9iCrojHKlvUKpElLZTG1T4MgdQaX6HoAVbcV1qit_ChzMs5l1aHz44wsL-f4eFsrRExao2ppXsn3nfd3fAM2lz3q</recordid><startdate>1996</startdate><enddate>1996</enddate><creator>Bao-Sheng Hu</creator><creator>Jing Li</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1996</creationdate><title>The fuzzy PID gain conditioner: algorithm, architecture and FPGA implementation</title><author>Bao-Sheng Hu ; Jing Li</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_6016663</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1996</creationdate><topic>Control systems</topic><topic>Field programmable gate arrays</topic><topic>Fuzzy control</topic><topic>Fuzzy sets</topic><topic>Hardware</topic><topic>Inference algorithms</topic><topic>Prototypes</topic><topic>System testing</topic><topic>Three-term control</topic><topic>Very large scale integration</topic><toplevel>online_resources</toplevel><creatorcontrib>Bao-Sheng Hu</creatorcontrib><creatorcontrib>Jing Li</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>Bao-Sheng Hu</au><au>Jing Li</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>The fuzzy PID gain conditioner: algorithm, architecture and FPGA implementation</atitle><btitle>Proceedings of the IEEE International Conference on Industrial Technology (ICIT'96)</btitle><stitle>ICIT</stitle><date>1996</date><risdate>1996</risdate><spage>621</spage><epage>624</epage><pages>621-624</pages><isbn>9780780331044</isbn><isbn>0780331044</isbn><abstract>In many control cases, we encounter the problem of tuning the coefficients of PID controllers. The often used methods such as the Ziegler-Nichols method can not guarantee to be the most effective one. This paper proposes a fuzzy PID gain conditioner algorithm (FPGA), a method based on the fuzzy control, which tunes the PID controller online. We probe into the VLSI architecture of the algorithm. The FPGA prototype implementation based on this VLSI structure is also given. Finally, a virtual control system is used to test the effectiveness of the design. The results obtained are encouraging.</abstract><pub>IEEE</pub><doi>10.1109/ICIT.1996.601666</doi></addata></record> |
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ispartof | Proceedings of the IEEE International Conference on Industrial Technology (ICIT'96), 1996, p.621-624 |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Control systems Field programmable gate arrays Fuzzy control Fuzzy sets Hardware Inference algorithms Prototypes System testing Three-term control Very large scale integration |
title | The fuzzy PID gain conditioner: algorithm, architecture and FPGA implementation |
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