Model Predictive Adaptive Cruise Control
In this paper, the Model Predictive Control (MPC) structure is used to solve the ACC problem and the performance of the design is tested using a realistic nonlinear vehicle model. A hierarchical control structure is used where MPC is placed on top of the hierarchy while the actuators are controlled...
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| creator | Kural, Emre Aksun Guvenc, Bilin |
| description | In this paper, the Model Predictive Control (MPC) structure is used to solve the ACC problem and the performance of the design is tested using a realistic nonlinear vehicle model. A hierarchical control structure is used where MPC is placed on top of the hierarchy while the actuators are controlled by simpler linear controllers. The real-time optimization needed for MPC is solved using Quadratic Programming (QP). The performance of the MPC is tested under different traffic scenarios. The control system is able to determine the ongoing scenarios autonomously, using available measurements. |
| doi_str_mv | 10.1109/ICSMC.2010.5642478 |
| format | Conference Proceeding |
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The control system is able to determine the ongoing scenarios autonomously, using available measurements.</description><subject>Acceleration</subject><subject>Adaptive Cruise Control</subject><subject>Geometry</subject><subject>Integrated optics</subject><subject>Mechanical power transmission</subject><subject>Model Predictive Control</subject><subject>powertrain modeling</subject><subject>receding horizon</subject><subject>Vehicle dynamics</subject><subject>Vehicles</subject><issn>1062-922X</issn><isbn>1424465869</isbn><isbn>9781424465866</isbn><isbn>9781424465880</isbn><isbn>1424465877</isbn><isbn>1424465885</isbn><isbn>9781424465873</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1j0tLAzEURiMq2Nb-Ad106WbqvXlnWQYfhRYFFdyVZHIDkdEpmVHw3ztoXZ1zNh98jF0gLBHBXa_rp2295DC20pJLY4_Y3BmLo0utrIVjNv0P7U7YBEHzynH-esamff8GwEGinbCrbRepXTwWirkZ8hctVtHvf6Uun7kf0X0MpWvP2WnybU_zA2fs5fbmub6vNg9363q1qTIaNVSB6ySVMYQpOiUEKRNiTC6AJUTLtReaq6SlTUZx400DKlgJTRO8QUpixi7_djMR7fYlv_vyvTu8FD94CULs</recordid><startdate>201010</startdate><enddate>201010</enddate><creator>Kural, Emre</creator><creator>Aksun Guvenc, Bilin</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>201010</creationdate><title>Model Predictive Adaptive Cruise Control</title><author>Kural, Emre ; Aksun Guvenc, Bilin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-b26f4577e1fd9533e57bddf9b08e11826a3625f648f7527a7c05b840ccba71ef3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Acceleration</topic><topic>Adaptive Cruise Control</topic><topic>Geometry</topic><topic>Integrated optics</topic><topic>Mechanical power transmission</topic><topic>Model Predictive Control</topic><topic>powertrain modeling</topic><topic>receding horizon</topic><topic>Vehicle dynamics</topic><topic>Vehicles</topic><toplevel>online_resources</toplevel><creatorcontrib>Kural, Emre</creatorcontrib><creatorcontrib>Aksun Guvenc, Bilin</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Kural, Emre</au><au>Aksun Guvenc, Bilin</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Model Predictive Adaptive Cruise Control</atitle><btitle>2010 IEEE International Conference on Systems, Man and Cybernetics</btitle><stitle>ICSMC</stitle><date>2010-10</date><risdate>2010</risdate><spage>1455</spage><epage>1461</epage><pages>1455-1461</pages><issn>1062-922X</issn><isbn>1424465869</isbn><isbn>9781424465866</isbn><eisbn>9781424465880</eisbn><eisbn>1424465877</eisbn><eisbn>1424465885</eisbn><eisbn>9781424465873</eisbn><abstract>In this paper, the Model Predictive Control (MPC) structure is used to solve the ACC problem and the performance of the design is tested using a realistic nonlinear vehicle model. A hierarchical control structure is used where MPC is placed on top of the hierarchy while the actuators are controlled by simpler linear controllers. The real-time optimization needed for MPC is solved using Quadratic Programming (QP). The performance of the MPC is tested under different traffic scenarios. The control system is able to determine the ongoing scenarios autonomously, using available measurements.</abstract><pub>IEEE</pub><doi>10.1109/ICSMC.2010.5642478</doi><tpages>7</tpages></addata></record> |
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| ispartof | 2010 IEEE International Conference on Systems, Man and Cybernetics, 2010, p.1455-1461 |
| issn | 1062-922X |
| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Acceleration Adaptive Cruise Control Geometry Integrated optics Mechanical power transmission Model Predictive Control powertrain modeling receding horizon Vehicle dynamics Vehicles |
| title | Model Predictive Adaptive Cruise Control |
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