CMAC Neural Network for Fuel-Injection Control

A new automotive fuel-injection controller using the cerebellar model articulation controller (CMAC) neural network is developed and implemented to maintain the engine air-to-fuel ratio at its stoichiometric value. In contrast to conventional fuel-injection controllers, which rely heavily on laborio...

Full description

Saved in:
Bibliographic Details
Main Authors: Shiraishi, Hitoshi, Ipri, Susan L., Cho, Dan
Format: Conference Proceeding
Language:English
Subjects:
Aerodynamics
Aerospace engineering
Automotive engineering
Calibration
Control systems
Engines
Manifolds
Neural networks
Vehicle dynamics
Vehicles
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 1778
container_issue
container_start_page 1773
container_title
container_volume
creator Shiraishi, Hitoshi
Ipri, Susan L.
Cho, Dan
description A new automotive fuel-injection controller using the cerebellar model articulation controller (CMAC) neural network is developed and implemented to maintain the engine air-to-fuel ratio at its stoichiometric value. In contrast to conventional fuel-injection controllers, which rely heavily on laborious calibration and tuning processes the CMAC controller requires minimal knowledge of the dynamic system and possesses the ability so achieve a desired performance through rapid on-line learning. This real-time CMAC controller is experimentally evaluated on a research vehicle in a configuration fully compatible with production controllers. The results show the highly promising potential of the new controller.
doi_str_mv 10.23919/ACC.1993.4793182
format conference_proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_4793182</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>4793182</ieee_id><sourcerecordid>4793182</sourcerecordid><originalsourceid>FETCH-LOGICAL-i105t-a98b6c66779b02c8df8d8962fd637cb1dd2adbde58490433f7e4492be56cbd213</originalsourceid><addsrcrecordid>eNotj8tKw0AYRgekUK19AHGTF5g495l_GQarhaobXZe5QmrMyCRFfHsD9mzO7nx8CN1R0jIOFB46a1sKwFuhgVPDrtAN0YZwYhThK7QGhqXQGtZoO00nsiClBkGvUWtfOtu8pnN1w6L5p9TPJpfa7M5pwPvxlMLcl7GxZZxrGW7RKrthStuLN-hj9_hun_Hh7WlvuwPuKZEzdmC8Ckotk56wYGI20YBiOSqug6cxMhd9TNIIIILzrJMQwHySKvjIKN-g-_9un1I6ftf-y9Xf4-Ud_wM5RkIa</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>CMAC Neural Network for Fuel-Injection Control</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Shiraishi, Hitoshi ; Ipri, Susan L. ; Cho, Dan</creator><creatorcontrib>Shiraishi, Hitoshi ; Ipri, Susan L. ; Cho, Dan</creatorcontrib><description>A new automotive fuel-injection controller using the cerebellar model articulation controller (CMAC) neural network is developed and implemented to maintain the engine air-to-fuel ratio at its stoichiometric value. In contrast to conventional fuel-injection controllers, which rely heavily on laborious calibration and tuning processes the CMAC controller requires minimal knowledge of the dynamic system and possesses the ability so achieve a desired performance through rapid on-line learning. This real-time CMAC controller is experimentally evaluated on a research vehicle in a configuration fully compatible with production controllers. The results show the highly promising potential of the new controller.</description><identifier>ISBN: 0780308603</identifier><identifier>ISBN: 9780780308602</identifier><identifier>DOI: 10.23919/ACC.1993.4793182</identifier><identifier>LCCN: 92-54779</identifier><language>eng</language><publisher>IEEE</publisher><subject>Aerodynamics ; Aerospace engineering ; Automotive engineering ; Calibration ; Control systems ; Engines ; Manifolds ; Neural networks ; Vehicle dynamics ; Vehicles</subject><ispartof>1993 American Control Conference, 1993, p.1773-1778</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/4793182$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2051,27904,54898</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4793182$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Shiraishi, Hitoshi</creatorcontrib><creatorcontrib>Ipri, Susan L.</creatorcontrib><creatorcontrib>Cho, Dan</creatorcontrib><title>CMAC Neural Network for Fuel-Injection Control</title><title>1993 American Control Conference</title><addtitle>ACC</addtitle><description>A new automotive fuel-injection controller using the cerebellar model articulation controller (CMAC) neural network is developed and implemented to maintain the engine air-to-fuel ratio at its stoichiometric value. In contrast to conventional fuel-injection controllers, which rely heavily on laborious calibration and tuning processes the CMAC controller requires minimal knowledge of the dynamic system and possesses the ability so achieve a desired performance through rapid on-line learning. This real-time CMAC controller is experimentally evaluated on a research vehicle in a configuration fully compatible with production controllers. The results show the highly promising potential of the new controller.</description><subject>Aerodynamics</subject><subject>Aerospace engineering</subject><subject>Automotive engineering</subject><subject>Calibration</subject><subject>Control systems</subject><subject>Engines</subject><subject>Manifolds</subject><subject>Neural networks</subject><subject>Vehicle dynamics</subject><subject>Vehicles</subject><isbn>0780308603</isbn><isbn>9780780308602</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1993</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotj8tKw0AYRgekUK19AHGTF5g495l_GQarhaobXZe5QmrMyCRFfHsD9mzO7nx8CN1R0jIOFB46a1sKwFuhgVPDrtAN0YZwYhThK7QGhqXQGtZoO00nsiClBkGvUWtfOtu8pnN1w6L5p9TPJpfa7M5pwPvxlMLcl7GxZZxrGW7RKrthStuLN-hj9_hun_Hh7WlvuwPuKZEzdmC8Ckotk56wYGI20YBiOSqug6cxMhd9TNIIIILzrJMQwHySKvjIKN-g-_9un1I6ftf-y9Xf4-Ud_wM5RkIa</recordid><startdate>199306</startdate><enddate>199306</enddate><creator>Shiraishi, Hitoshi</creator><creator>Ipri, Susan L.</creator><creator>Cho, Dan</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>199306</creationdate><title>CMAC Neural Network for Fuel-Injection Control</title><author>Shiraishi, Hitoshi ; Ipri, Susan L. ; Cho, Dan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i105t-a98b6c66779b02c8df8d8962fd637cb1dd2adbde58490433f7e4492be56cbd213</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1993</creationdate><topic>Aerodynamics</topic><topic>Aerospace engineering</topic><topic>Automotive engineering</topic><topic>Calibration</topic><topic>Control systems</topic><topic>Engines</topic><topic>Manifolds</topic><topic>Neural networks</topic><topic>Vehicle dynamics</topic><topic>Vehicles</topic><toplevel>online_resources</toplevel><creatorcontrib>Shiraishi, Hitoshi</creatorcontrib><creatorcontrib>Ipri, Susan L.</creatorcontrib><creatorcontrib>Cho, Dan</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>Shiraishi, Hitoshi</au><au>Ipri, Susan L.</au><au>Cho, Dan</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>CMAC Neural Network for Fuel-Injection Control</atitle><btitle>1993 American Control Conference</btitle><stitle>ACC</stitle><date>1993-06</date><risdate>1993</risdate><spage>1773</spage><epage>1778</epage><pages>1773-1778</pages><isbn>0780308603</isbn><isbn>9780780308602</isbn><abstract>A new automotive fuel-injection controller using the cerebellar model articulation controller (CMAC) neural network is developed and implemented to maintain the engine air-to-fuel ratio at its stoichiometric value. In contrast to conventional fuel-injection controllers, which rely heavily on laborious calibration and tuning processes the CMAC controller requires minimal knowledge of the dynamic system and possesses the ability so achieve a desired performance through rapid on-line learning. This real-time CMAC controller is experimentally evaluated on a research vehicle in a configuration fully compatible with production controllers. The results show the highly promising potential of the new controller.</abstract><pub>IEEE</pub><doi>10.23919/ACC.1993.4793182</doi><tpages>6</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISBN: 0780308603
ispartof 1993 American Control Conference, 1993, p.1773-1778
issn
language eng
recordid cdi_ieee_primary_4793182
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Aerodynamics
Aerospace engineering
Automotive engineering
Calibration
Control systems
Engines
Manifolds
Neural networks
Vehicle dynamics
Vehicles
title CMAC Neural Network for Fuel-Injection Control
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-26T07%3A27%3A22IST&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=CMAC%20Neural%20Network%20for%20Fuel-Injection%20Control&rft.btitle=1993%20American%20Control%20Conference&rft.au=Shiraishi,%20Hitoshi&rft.date=1993-06&rft.spage=1773&rft.epage=1778&rft.pages=1773-1778&rft.isbn=0780308603&rft.isbn_list=9780780308602&rft_id=info:doi/10.23919/ACC.1993.4793182&rft_dat=%3Cieee_6IE%3E4793182%3C/ieee_6IE%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i105t-a98b6c66779b02c8df8d8962fd637cb1dd2adbde58490433f7e4492be56cbd213%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=4793182&rfr_iscdi=true