Ontology type: schema:ScholarlyArticle
2019-03
AUTHORSSasan Banarezaei, Majid Shalchian
ABSTRACTAutomotive engines spend a considerable portion of their life in idle state, where their characteristics are highly nonlinear and time varying. Efficient control of the engine in idle state significantly improves fuel economy, emission level and drivability. In this work, we proposed a combined fuzzy-PID idle speed controller which improves stability, fuel consumption and emission level, during normal operation as well as transient loads. In order to study the performance of control algorithm, XU7-1761cc gasoline port fuel injection engine has been modeled in idle state. This model calculates engine speed as a function of idle air valve position and ignition angle. This model demonstrated maximum of 8% error during parallel model in the loop and engine in the loop operation. After tuning the membership functions, performance of fuzzy-PID controller has been compared with baseline PID controller of engine control unit. Model in the loop simulation demonstrated that fuzzy-PID controller is more accurate than baseline PID controller, unconditionally stable and is able to reduce fuel consumption in the order of 14% compared to baseline controller. Finally, an experimental setup for real-time control of idle air valve based on proposed controller has also been developed. More... »
PAGES1-19
Iranian Journal of Science and Technology, Transactions of Electrical Engineering
ISSUEN/A
VOLUMEN/A
http://scigraph.springernature.com/pub.10.1007/s40998-018-0095-z
DOIhttp://dx.doi.org/10.1007/s40998-018-0095-z
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1105327566
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0913",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Mechanical Engineering",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Engineering",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Amirkabir University of Technology",
"id": "https://www.grid.ac/institutes/grid.411368.9",
"name": [
"Department of Electrical Engineering, Tehran Polytechnic, Amirkabir University, Tehran, Iran"
],
"type": "Organization"
},
"familyName": "Banarezaei",
"givenName": "Sasan",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Amirkabir University of Technology",
"id": "https://www.grid.ac/institutes/grid.411368.9",
"name": [
"Department of Electrical Engineering, Tehran Polytechnic, Amirkabir University, Tehran, Iran"
],
"type": "Organization"
},
"familyName": "Shalchian",
"givenName": "Majid",
"id": "sg:person.015547446231.33",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015547446231.33"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1016/s0967-0661(99)00190-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002703148"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3182/20130904-4-jp-2042.00119",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007282794"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.ifacol.2016.08.089",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007283167"
],
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1012247920",
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-3-642-10775-7",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012247920",
"https://doi.org/10.1007/978-3-642-10775-7"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-3-642-10775-7",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012247920",
"https://doi.org/10.1007/978-3-642-10775-7"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.arcontrol.2016.04.005",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015148646"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.conengprac.2010.01.010",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1019021730"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s12206-012-0611-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1019521981",
"https://doi.org/10.1007/s12206-012-0611-4"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3166/ejc.13.618-624",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026234647"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0947-3580(00)71115-0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035524991"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.engappai.2009.09.008",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048576460"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1049/iet-its.2015.0005",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1056830020"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/87.748152",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061241795"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/tcst.2010.2078818",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061573008"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/tcst.2011.2112361",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061573072"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/tie.2015.2464171",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061627451"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/tsmcc.2007.905810",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061798024"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1115/1.3153093",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1062103986"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/cca.1992.269762",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1086311473"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/cac.2015.7382797",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1093661019"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/csa.2013.90",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1095246640"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/ccdc.2014.6852127",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1095784259"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.4271/2007-01-1197",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1096543404"
],
"type": "CreativeWork"
}
],
"datePublished": "2019-03",
"datePublishedReg": "2019-03-01",
"description": "Automotive engines spend a considerable portion of their life in idle state, where their characteristics are highly nonlinear and time varying. Efficient control of the engine in idle state significantly improves fuel economy, emission level and drivability. In this work, we proposed a combined fuzzy-PID idle speed controller which improves stability, fuel consumption and emission level, during normal operation as well as transient loads. In order to study the performance of control algorithm, XU7-1761cc gasoline port fuel injection engine has been modeled in idle state. This model calculates engine speed as a function of idle air valve position and ignition angle. This model demonstrated maximum of 8% error during parallel model in the loop and engine in the loop operation. After tuning the membership functions, performance of fuzzy-PID controller has been compared with baseline PID controller of engine control unit. Model in the loop simulation demonstrated that fuzzy-PID controller is more accurate than baseline PID controller, unconditionally stable and is able to reduce fuel consumption in the order of 14% compared to baseline controller. Finally, an experimental setup for real-time control of idle air valve based on proposed controller has also been developed.",
"genre": "research_article",
"id": "sg:pub.10.1007/s40998-018-0095-z",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1283955",
"issn": [
"2228-6179",
"2364-1827"
],
"name": "Iranian Journal of Science and Technology, Transactions of Electrical Engineering",
"type": "Periodical"
}
],
"name": "Design of a Model-Based Fuzzy-PID Controller with Self-Tuning Scaling Factor for Idle Speed Control of Automotive Engine",
"pagination": "1-19",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"d05152f4d32c50ae80974e8162432e08a1ff6ba30f8319c2fc6a8f77b9efe182"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s40998-018-0095-z"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1105327566"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s40998-018-0095-z",
"https://app.dimensions.ai/details/publication/pub.1105327566"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-10T14:54",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8663_00000485.jsonl",
"type": "ScholarlyArticle",
"url": "http://link.springer.com/10.1007/s40998-018-0095-z"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s40998-018-0095-z'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s40998-018-0095-z'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s40998-018-0095-z'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s40998-018-0095-z'
This table displays all metadata directly associated to this object as RDF triples.
131 TRIPLES
21 PREDICATES
48 URIs
17 LITERALS
5 BLANK NODES