A Self-Tuning Analog Proportional-Integral-Derivative (PID) Controller

We present a platform for implementing low power self-tuning analog proportional-integral-derivative controllers. By using a model-free tuning method, the platform overcomes problems typically associated with reconfigurable analog arrays. Unlike a self-tuning digital PID controller, our prototype co...

Full description

Saved in:
Bibliographic Details
Main Authors: Aggarwal, V., Mao, M., O'Reilly, U.-M.
Format: Conference Proceeding
Language:English
Subjects:
Bandwidth
Digital control
Field programmable analog arrays
Hardware
Pi control
Proportional control
Prototypes
Quantization
Three-term control
Tuning
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 19
container_issue
container_start_page 12
container_title
container_volume
creator Aggarwal, V.
Mao, M.
O'Reilly, U.-M.
description We present a platform for implementing low power self-tuning analog proportional-integral-derivative controllers. By using a model-free tuning method, the platform overcomes problems typically associated with reconfigurable analog arrays. Unlike a self-tuning digital PID controller, our prototype controller combines the advantages of low power, no quantization noise, high bandwidth and high speed. The prototype hardware uses a commercially available field programmable analog array and particle swarm optimization as the tuning method. We show that a self-tuned analog PID controller can outperform a hand-tuned solution and demonstrate adaptability to plant drift
doi_str_mv 10.1109/AHS.2006.12
format conference_proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_1638134</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>1638134</ieee_id><sourcerecordid>1638134</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-64183cec69541563823d16af6b16b9ce52a78270af0a5a43ef57732eb8ecafe93</originalsourceid><addsrcrecordid>eNotjk1Lw0AURQdEUGtXLt3MUhcT581nsgyptYGChdZ1mcQ3YSRmyiQW_PcG6t3cezaHS8gD8AyAFy_lZp8Jzk0G4orccWsKLQwodUOW4_jF5ygNXJtbsi7pHnvPDj9DGDpaDq6PHd2leIppCnFGVg8TdmkeK0zh7KZwRvq0q1fPtIrDlGLfY7on1971Iy7_e0E-1q-HasO27291VW5ZAKsnZhTkssV2_qNAG5kL-QnGedOAaYoWtXA2F5Y7z512SqLX1kqBTY6t81jIBXm8eAMiHk8pfLv0e4TZBFLJP8s4R5I</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>A Self-Tuning Analog Proportional-Integral-Derivative (PID) Controller</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Aggarwal, V. ; Mao, M. ; O'Reilly, U.-M.</creator><creatorcontrib>Aggarwal, V. ; Mao, M. ; O'Reilly, U.-M.</creatorcontrib><description>We present a platform for implementing low power self-tuning analog proportional-integral-derivative controllers. By using a model-free tuning method, the platform overcomes problems typically associated with reconfigurable analog arrays. Unlike a self-tuning digital PID controller, our prototype controller combines the advantages of low power, no quantization noise, high bandwidth and high speed. The prototype hardware uses a commercially available field programmable analog array and particle swarm optimization as the tuning method. We show that a self-tuned analog PID controller can outperform a hand-tuned solution and demonstrate adaptability to plant drift</description><identifier>ISBN: 0769526144</identifier><identifier>ISBN: 9780769526140</identifier><identifier>DOI: 10.1109/AHS.2006.12</identifier><language>eng</language><publisher>IEEE</publisher><subject>Bandwidth ; Digital control ; Field programmable analog arrays ; Hardware ; Pi control ; Proportional control ; Prototypes ; Quantization ; Three-term control ; Tuning</subject><ispartof>First NASA/ESA Conference on Adaptive Hardware and Systems (AHS'06), 2006, p.12-19</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/1638134$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,4050,4051,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1638134$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Aggarwal, V.</creatorcontrib><creatorcontrib>Mao, M.</creatorcontrib><creatorcontrib>O'Reilly, U.-M.</creatorcontrib><title>A Self-Tuning Analog Proportional-Integral-Derivative (PID) Controller</title><title>First NASA/ESA Conference on Adaptive Hardware and Systems (AHS'06)</title><addtitle>AHS</addtitle><description>We present a platform for implementing low power self-tuning analog proportional-integral-derivative controllers. By using a model-free tuning method, the platform overcomes problems typically associated with reconfigurable analog arrays. Unlike a self-tuning digital PID controller, our prototype controller combines the advantages of low power, no quantization noise, high bandwidth and high speed. The prototype hardware uses a commercially available field programmable analog array and particle swarm optimization as the tuning method. We show that a self-tuned analog PID controller can outperform a hand-tuned solution and demonstrate adaptability to plant drift</description><subject>Bandwidth</subject><subject>Digital control</subject><subject>Field programmable analog arrays</subject><subject>Hardware</subject><subject>Pi control</subject><subject>Proportional control</subject><subject>Prototypes</subject><subject>Quantization</subject><subject>Three-term control</subject><subject>Tuning</subject><isbn>0769526144</isbn><isbn>9780769526140</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotjk1Lw0AURQdEUGtXLt3MUhcT581nsgyptYGChdZ1mcQ3YSRmyiQW_PcG6t3cezaHS8gD8AyAFy_lZp8Jzk0G4orccWsKLQwodUOW4_jF5ygNXJtbsi7pHnvPDj9DGDpaDq6PHd2leIppCnFGVg8TdmkeK0zh7KZwRvq0q1fPtIrDlGLfY7on1971Iy7_e0E-1q-HasO27291VW5ZAKsnZhTkssV2_qNAG5kL-QnGedOAaYoWtXA2F5Y7z512SqLX1kqBTY6t81jIBXm8eAMiHk8pfLv0e4TZBFLJP8s4R5I</recordid><startdate>2006</startdate><enddate>2006</enddate><creator>Aggarwal, V.</creator><creator>Mao, M.</creator><creator>O'Reilly, U.-M.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2006</creationdate><title>A Self-Tuning Analog Proportional-Integral-Derivative (PID) Controller</title><author>Aggarwal, V. ; Mao, M. ; O'Reilly, U.-M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-64183cec69541563823d16af6b16b9ce52a78270af0a5a43ef57732eb8ecafe93</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Bandwidth</topic><topic>Digital control</topic><topic>Field programmable analog arrays</topic><topic>Hardware</topic><topic>Pi control</topic><topic>Proportional control</topic><topic>Prototypes</topic><topic>Quantization</topic><topic>Three-term control</topic><topic>Tuning</topic><toplevel>online_resources</toplevel><creatorcontrib>Aggarwal, V.</creatorcontrib><creatorcontrib>Mao, M.</creatorcontrib><creatorcontrib>O'Reilly, U.-M.</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>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>Aggarwal, V.</au><au>Mao, M.</au><au>O'Reilly, U.-M.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A Self-Tuning Analog Proportional-Integral-Derivative (PID) Controller</atitle><btitle>First NASA/ESA Conference on Adaptive Hardware and Systems (AHS'06)</btitle><stitle>AHS</stitle><date>2006</date><risdate>2006</risdate><spage>12</spage><epage>19</epage><pages>12-19</pages><isbn>0769526144</isbn><isbn>9780769526140</isbn><abstract>We present a platform for implementing low power self-tuning analog proportional-integral-derivative controllers. By using a model-free tuning method, the platform overcomes problems typically associated with reconfigurable analog arrays. Unlike a self-tuning digital PID controller, our prototype controller combines the advantages of low power, no quantization noise, high bandwidth and high speed. The prototype hardware uses a commercially available field programmable analog array and particle swarm optimization as the tuning method. We show that a self-tuned analog PID controller can outperform a hand-tuned solution and demonstrate adaptability to plant drift</abstract><pub>IEEE</pub><doi>10.1109/AHS.2006.12</doi><tpages>8</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISBN: 0769526144
ispartof First NASA/ESA Conference on Adaptive Hardware and Systems (AHS'06), 2006, p.12-19
issn
language eng
recordid cdi_ieee_primary_1638134
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Bandwidth
Digital control
Field programmable analog arrays
Hardware
Pi control
Proportional control
Prototypes
Quantization
Three-term control
Tuning
title A Self-Tuning Analog Proportional-Integral-Derivative (PID) Controller
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T13%3A13%3A26IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=A%20Self-Tuning%20Analog%20Proportional-Integral-Derivative%20(PID)%20Controller&rft.btitle=First%20NASA/ESA%20Conference%20on%20Adaptive%20Hardware%20and%20Systems%20(AHS'06)&rft.au=Aggarwal,%20V.&rft.date=2006&rft.spage=12&rft.epage=19&rft.pages=12-19&rft.isbn=0769526144&rft.isbn_list=9780769526140&rft_id=info:doi/10.1109/AHS.2006.12&rft_dat=%3Cieee_6IE%3E1638134%3C/ieee_6IE%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i175t-64183cec69541563823d16af6b16b9ce52a78270af0a5a43ef57732eb8ecafe93%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=1638134&rfr_iscdi=true