Adaptive prediction-based control for an ecological cruise control system on curved and hilly roads
This paper presents an adaptive prediction-based control scheme for developing an ecological cruise control (ECC) system when simultaneous running on the roads with the continuous curves and up-down slopes, which aims to guarantee the driving safety, riding comfort of a vehicle and enhance its fuel...
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| Veröffentlicht in: | Journal of intelligent & fuzzy systems 2020-01, Vol.38 (5), p.6129-6144 |
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| container_end_page | 6144 |
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| container_issue | 5 |
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| container_title | Journal of intelligent & fuzzy systems |
| container_volume | 38 |
| creator | Lin, Yu-Chen Nguyen, Ha Ly Thi Balas, Valentina Emilia Lin, Tsung-Chih Kuo, I-Chun |
| description | This paper presents an adaptive prediction-based control scheme for developing an ecological cruise control (ECC) system when simultaneous running on the roads with the continuous curves and up-down slopes, which aims to guarantee the driving safety, riding comfort of a vehicle and enhance its fuel efficiency as well. This study is mainly divided into two parts: vehicle longitudinal speed control and vehicle lateral stability control. Firstly, based on GPS data, topographical information, and a fuel consumption model, the prediction based on approximate dynamic programming (ADP) using adaptive fuzzy neural networks (FNNs) is employed to calculate appropriate control signal required for ecological driving. Secondly, to maintain the vehicle stable on the curved road, the vehicle lateral stability control is presented utilizing sliding mode control approach. The effectiveness of the proposed ECC system, in view of stability, improved riding comfort and fuel efficiency, has been validated on the CarSim environment. |
| doi_str_mv | 10.3233/JIFS-179696 |
| format | Article |
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This study is mainly divided into two parts: vehicle longitudinal speed control and vehicle lateral stability control. Firstly, based on GPS data, topographical information, and a fuel consumption model, the prediction based on approximate dynamic programming (ADP) using adaptive fuzzy neural networks (FNNs) is employed to calculate appropriate control signal required for ecological driving. Secondly, to maintain the vehicle stable on the curved road, the vehicle lateral stability control is presented utilizing sliding mode control approach. The effectiveness of the proposed ECC system, in view of stability, improved riding comfort and fuel efficiency, has been validated on the CarSim environment.</description><identifier>ISSN: 1064-1246</identifier><identifier>EISSN: 1875-8967</identifier><identifier>DOI: 10.3233/JIFS-179696</identifier><language>eng</language><publisher>Amsterdam: IOS Press BV</publisher><subject>Adaptive control ; Artificial neural networks ; Control stability ; Cruise control ; Dynamic programming ; Ecology ; Energy efficiency ; Fuel consumption ; Fuel economy ; Fuzzy control ; Fuzzy logic ; Lateral stability ; Neural networks ; Roads ; Sliding mode control ; Speed control ; Vehicle safety</subject><ispartof>Journal of intelligent & fuzzy systems, 2020-01, Vol.38 (5), p.6129-6144</ispartof><rights>Copyright IOS Press BV 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c261t-4ade6af34e38ef5b9f4c32b76ab4e2eab4990ee441a07f2312cc0b23c57d22363</citedby><cites>FETCH-LOGICAL-c261t-4ade6af34e38ef5b9f4c32b76ab4e2eab4990ee441a07f2312cc0b23c57d22363</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids></links><search><contributor>Balas, Valentina Emilia</contributor><contributor>Jain, Lakhmi C.</contributor><creatorcontrib>Lin, Yu-Chen</creatorcontrib><creatorcontrib>Nguyen, Ha Ly Thi</creatorcontrib><creatorcontrib>Balas, Valentina Emilia</creatorcontrib><creatorcontrib>Lin, Tsung-Chih</creatorcontrib><creatorcontrib>Kuo, I-Chun</creatorcontrib><title>Adaptive prediction-based control for an ecological cruise control system on curved and hilly roads</title><title>Journal of intelligent & fuzzy systems</title><description>This paper presents an adaptive prediction-based control scheme for developing an ecological cruise control (ECC) system when simultaneous running on the roads with the continuous curves and up-down slopes, which aims to guarantee the driving safety, riding comfort of a vehicle and enhance its fuel efficiency as well. 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The effectiveness of the proposed ECC system, in view of stability, improved riding comfort and fuel efficiency, has been validated on the CarSim environment.</description><subject>Adaptive control</subject><subject>Artificial neural networks</subject><subject>Control stability</subject><subject>Cruise control</subject><subject>Dynamic programming</subject><subject>Ecology</subject><subject>Energy efficiency</subject><subject>Fuel consumption</subject><subject>Fuel economy</subject><subject>Fuzzy control</subject><subject>Fuzzy logic</subject><subject>Lateral stability</subject><subject>Neural networks</subject><subject>Roads</subject><subject>Sliding mode control</subject><subject>Speed control</subject><subject>Vehicle safety</subject><issn>1064-1246</issn><issn>1875-8967</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNo9kE1LAzEQhoMoWKsn_0DAo0TztdnNsRSrlYIH9RyyyUS3bDdrslvov3dLxcvMHJ55X3gQumX0QXAhHl_Xq3fCSq20OkMzVpUFqbQqz6ebKkkYl-oSXeW8pZSVBacz5Bbe9kOzB9wn8I0bmtiR2mbw2MVuSLHFISZsOwwutvGrcbbFLo1Nhn8gH_IAOxw77Ma0nz5t5_F307YHnKL1-RpdBNtmuPnbc_S5evpYvpDN2_N6udgQxxUbiLQelA1CgqggFLUO0glel8rWEjhMU2sKICWztAxcMO4crblwRek5F0rM0d0pt0_xZ4Q8mG0cUzdVGi5pVRRcMzFR9yfKpZhzgmD61OxsOhhGzdGiOVo0J4viF9vnZjk</recordid><startdate>20200101</startdate><enddate>20200101</enddate><creator>Lin, Yu-Chen</creator><creator>Nguyen, Ha Ly Thi</creator><creator>Balas, Valentina Emilia</creator><creator>Lin, Tsung-Chih</creator><creator>Kuo, I-Chun</creator><general>IOS Press BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20200101</creationdate><title>Adaptive prediction-based control for an ecological cruise control system on curved and hilly roads</title><author>Lin, Yu-Chen ; Nguyen, Ha Ly Thi ; Balas, Valentina Emilia ; Lin, Tsung-Chih ; Kuo, I-Chun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c261t-4ade6af34e38ef5b9f4c32b76ab4e2eab4990ee441a07f2312cc0b23c57d22363</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adaptive control</topic><topic>Artificial neural networks</topic><topic>Control stability</topic><topic>Cruise control</topic><topic>Dynamic programming</topic><topic>Ecology</topic><topic>Energy efficiency</topic><topic>Fuel consumption</topic><topic>Fuel economy</topic><topic>Fuzzy control</topic><topic>Fuzzy logic</topic><topic>Lateral stability</topic><topic>Neural networks</topic><topic>Roads</topic><topic>Sliding mode control</topic><topic>Speed control</topic><topic>Vehicle safety</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lin, Yu-Chen</creatorcontrib><creatorcontrib>Nguyen, Ha Ly Thi</creatorcontrib><creatorcontrib>Balas, Valentina Emilia</creatorcontrib><creatorcontrib>Lin, Tsung-Chih</creatorcontrib><creatorcontrib>Kuo, I-Chun</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Journal of intelligent & fuzzy systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lin, Yu-Chen</au><au>Nguyen, Ha Ly Thi</au><au>Balas, Valentina Emilia</au><au>Lin, Tsung-Chih</au><au>Kuo, I-Chun</au><au>Balas, Valentina Emilia</au><au>Jain, Lakhmi C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Adaptive prediction-based control for an ecological cruise control system on curved and hilly roads</atitle><jtitle>Journal of intelligent & fuzzy systems</jtitle><date>2020-01-01</date><risdate>2020</risdate><volume>38</volume><issue>5</issue><spage>6129</spage><epage>6144</epage><pages>6129-6144</pages><issn>1064-1246</issn><eissn>1875-8967</eissn><abstract>This paper presents an adaptive prediction-based control scheme for developing an ecological cruise control (ECC) system when simultaneous running on the roads with the continuous curves and up-down slopes, which aims to guarantee the driving safety, riding comfort of a vehicle and enhance its fuel efficiency as well. 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| ispartof | Journal of intelligent & fuzzy systems, 2020-01, Vol.38 (5), p.6129-6144 |
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| source | Business Source® Complete |
| subjects | Adaptive control Artificial neural networks Control stability Cruise control Dynamic programming Ecology Energy efficiency Fuel consumption Fuel economy Fuzzy control Fuzzy logic Lateral stability Neural networks Roads Sliding mode control Speed control Vehicle safety |
| title | Adaptive prediction-based control for an ecological cruise control system on curved and hilly roads |
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