Stochastic Air-Fuel Ratio Control of Compressed Natural Gas Engines Using State Observer
In this paper, the air-fuel ratio regulation problem of compressed natural gas (CNG) engines considering stochastic L2 disturbance attenuation is researched. A state observer is designed to overcome the unmeasurability of the total air mass and total fuel mass in the cylinder, since the residual air...
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| Veröffentlicht in: | Mathematical problems in engineering 2020, Vol.2020 (2020), p.1-8 |
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| creator | Li, Yanxiao Zhou, Xuesheng Wang, Jian Yang, Jun |
| description | In this paper, the air-fuel ratio regulation problem of compressed natural gas (CNG) engines considering stochastic L2 disturbance attenuation is researched. A state observer is designed to overcome the unmeasurability of the total air mass and total fuel mass in the cylinder, since the residual air and residual fuel that are included in the residual gas are unmeasured and the residual gas reflects stochasticity. With the proposed state observer, a stochastic robust air-fuel ratio regulator is proposed by using a CNG engine dynamic model to attenuate the uncertain cyclic fluctuation of the fresh air, and the augmented closed-loop system is mean-square stable. A validation of the proposed stochastic robust air-fuel ratio regulator is carried out by the numerical simulation of two working conditions. The accuracy control of the air-fuel ratio is realized by the proposed stochastic robust air-fuel ratio regulator, which in turn leads to an improvement in fuel economy and emission performance of the CNG engines. |
| doi_str_mv | 10.1155/2020/2028398 |
| format | Article |
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A state observer is designed to overcome the unmeasurability of the total air mass and total fuel mass in the cylinder, since the residual air and residual fuel that are included in the residual gas are unmeasured and the residual gas reflects stochasticity. With the proposed state observer, a stochastic robust air-fuel ratio regulator is proposed by using a CNG engine dynamic model to attenuate the uncertain cyclic fluctuation of the fresh air, and the augmented closed-loop system is mean-square stable. A validation of the proposed stochastic robust air-fuel ratio regulator is carried out by the numerical simulation of two working conditions. The accuracy control of the air-fuel ratio is realized by the proposed stochastic robust air-fuel ratio regulator, which in turn leads to an improvement in fuel economy and emission performance of the CNG engines.</description><identifier>ISSN: 1024-123X</identifier><identifier>EISSN: 1563-5147</identifier><identifier>DOI: 10.1155/2020/2028398</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Accuracy ; Air masses ; Air-fuel ratio ; Attenuation ; Closed loop systems ; Compressed gas ; Compressed natural gas ; Computer simulation ; Design ; Dynamic models ; Energy efficiency ; Engines ; Feedback control ; Fuel economy ; Gasoline ; Natural gas ; Ratios ; Residual gas ; Robustness (mathematics) ; Simulation ; State observers</subject><ispartof>Mathematical problems in engineering, 2020, Vol.2020 (2020), p.1-8</ispartof><rights>Copyright © 2020 Jun Yang et al.</rights><rights>Copyright © 2020 Jun Yang et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. http://creativecommons.org/licenses/by/4.0</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c317t-56b7b4cf46353054e0fe7c54df58053303c8eac81f9107f516e7dd5d02039fb3</cites><orcidid>0000-0002-5684-8559 ; 0000-0003-3518-4471</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,4024,27923,27924,27925</link.rule.ids></links><search><contributor>Bianco, Vincenzo</contributor><contributor>Vincenzo Bianco</contributor><creatorcontrib>Li, Yanxiao</creatorcontrib><creatorcontrib>Zhou, Xuesheng</creatorcontrib><creatorcontrib>Wang, Jian</creatorcontrib><creatorcontrib>Yang, Jun</creatorcontrib><title>Stochastic Air-Fuel Ratio Control of Compressed Natural Gas Engines Using State Observer</title><title>Mathematical problems in engineering</title><description>In this paper, the air-fuel ratio regulation problem of compressed natural gas (CNG) engines considering stochastic L2 disturbance attenuation is researched. A state observer is designed to overcome the unmeasurability of the total air mass and total fuel mass in the cylinder, since the residual air and residual fuel that are included in the residual gas are unmeasured and the residual gas reflects stochasticity. With the proposed state observer, a stochastic robust air-fuel ratio regulator is proposed by using a CNG engine dynamic model to attenuate the uncertain cyclic fluctuation of the fresh air, and the augmented closed-loop system is mean-square stable. A validation of the proposed stochastic robust air-fuel ratio regulator is carried out by the numerical simulation of two working conditions. The accuracy control of the air-fuel ratio is realized by the proposed stochastic robust air-fuel ratio regulator, which in turn leads to an improvement in fuel economy and emission performance of the CNG engines.</description><subject>Accuracy</subject><subject>Air masses</subject><subject>Air-fuel ratio</subject><subject>Attenuation</subject><subject>Closed loop systems</subject><subject>Compressed gas</subject><subject>Compressed natural gas</subject><subject>Computer simulation</subject><subject>Design</subject><subject>Dynamic models</subject><subject>Energy efficiency</subject><subject>Engines</subject><subject>Feedback control</subject><subject>Fuel economy</subject><subject>Gasoline</subject><subject>Natural gas</subject><subject>Ratios</subject><subject>Residual gas</subject><subject>Robustness (mathematics)</subject><subject>Simulation</subject><subject>State observers</subject><issn>1024-123X</issn><issn>1563-5147</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqF0E1LAzEQBuAgCtbqzbMEPOpqssnsx7GUtgrFgq3Q25LNJm3KdlOTrOK_d8sWPHqZmcPDDPMidEvJE6UAzzGJybFkLM_O0IBCwiKgPD3vZhLziMZsfYmuvN8RElOg2QCtl8HKrfDBSDwyLpq2qsbvIhiLx7YJztbY6m7cH5zyXlX4TYTWiRrPhMeTZmMa5fGHN80GL4MICi9Kr9yXctfoQovaq5tTH6LVdLIav0Tzxex1PJpHktE0RJCUacml5gkDRoArolUqgVcaMgKMESYzJWRGdU5JqoEmKq0qqLpPWa5LNkT3_dqDs5-t8qHY2dY13cUiZhmFFGJOOvXYK-ms907p4uDMXrifgpLiGF1xjK44Rdfxh55vTVOJb_Ofvuu16ozS4k_TnCXA2S8XBHaR</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Li, Yanxiao</creator><creator>Zhou, Xuesheng</creator><creator>Wang, Jian</creator><creator>Yang, Jun</creator><general>Hindawi Publishing Corporation</general><general>Hindawi</general><general>Hindawi Limited</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>KR7</scope><scope>L6V</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><orcidid>https://orcid.org/0000-0002-5684-8559</orcidid><orcidid>https://orcid.org/0000-0003-3518-4471</orcidid></search><sort><creationdate>2020</creationdate><title>Stochastic Air-Fuel Ratio Control of Compressed Natural Gas Engines Using State Observer</title><author>Li, Yanxiao ; Zhou, Xuesheng ; Wang, Jian ; Yang, Jun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c317t-56b7b4cf46353054e0fe7c54df58053303c8eac81f9107f516e7dd5d02039fb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Accuracy</topic><topic>Air masses</topic><topic>Air-fuel ratio</topic><topic>Attenuation</topic><topic>Closed loop systems</topic><topic>Compressed gas</topic><topic>Compressed natural gas</topic><topic>Computer simulation</topic><topic>Design</topic><topic>Dynamic models</topic><topic>Energy efficiency</topic><topic>Engines</topic><topic>Feedback control</topic><topic>Fuel economy</topic><topic>Gasoline</topic><topic>Natural gas</topic><topic>Ratios</topic><topic>Residual gas</topic><topic>Robustness (mathematics)</topic><topic>Simulation</topic><topic>State observers</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Yanxiao</creatorcontrib><creatorcontrib>Zhou, Xuesheng</creatorcontrib><creatorcontrib>Wang, Jian</creatorcontrib><creatorcontrib>Yang, Jun</creatorcontrib><collection>الدوريات العلمية والإحصائية - e-Marefa Academic and Statistical Periodicals</collection><collection>معرفة - المحتوى العربي الأكاديمي المتكامل - e-Marefa Academic Complete</collection><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access Journals</collection><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>Middle East & Africa Database</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>Mathematical problems in engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Yanxiao</au><au>Zhou, Xuesheng</au><au>Wang, Jian</au><au>Yang, Jun</au><au>Bianco, Vincenzo</au><au>Vincenzo Bianco</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Stochastic Air-Fuel Ratio Control of Compressed Natural Gas Engines Using State Observer</atitle><jtitle>Mathematical problems in engineering</jtitle><date>2020</date><risdate>2020</risdate><volume>2020</volume><issue>2020</issue><spage>1</spage><epage>8</epage><pages>1-8</pages><issn>1024-123X</issn><eissn>1563-5147</eissn><abstract>In this paper, the air-fuel ratio regulation problem of compressed natural gas (CNG) engines considering stochastic L2 disturbance attenuation is researched. A state observer is designed to overcome the unmeasurability of the total air mass and total fuel mass in the cylinder, since the residual air and residual fuel that are included in the residual gas are unmeasured and the residual gas reflects stochasticity. With the proposed state observer, a stochastic robust air-fuel ratio regulator is proposed by using a CNG engine dynamic model to attenuate the uncertain cyclic fluctuation of the fresh air, and the augmented closed-loop system is mean-square stable. A validation of the proposed stochastic robust air-fuel ratio regulator is carried out by the numerical simulation of two working conditions. The accuracy control of the air-fuel ratio is realized by the proposed stochastic robust air-fuel ratio regulator, which in turn leads to an improvement in fuel economy and emission performance of the CNG engines.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Publishing Corporation</pub><doi>10.1155/2020/2028398</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-5684-8559</orcidid><orcidid>https://orcid.org/0000-0003-3518-4471</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Accuracy Air masses Air-fuel ratio Attenuation Closed loop systems Compressed gas Compressed natural gas Computer simulation Design Dynamic models Energy efficiency Engines Feedback control Fuel economy Gasoline Natural gas Ratios Residual gas Robustness (mathematics) Simulation State observers |
| title | Stochastic Air-Fuel Ratio Control of Compressed Natural Gas Engines Using State Observer |
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