Hierarchical optimization of coupled self-optimizing systems
In this work we present an approach for the optimization of distributed test rigs that are coupled only by information processing. Our application examples are an active suspension system and a linear drive with an active air gap adjustment which both represent a module of the rail-bound vehicle Rai...
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| creator | Holscher, C. Zimmer, D. Kessler, J. H. Kruger, M. Trachtler, A. |
| description | In this work we present an approach for the optimization of distributed test rigs that are coupled only by information processing. Our application examples are an active suspension system and a linear drive with an active air gap adjustment which both represent a module of the rail-bound vehicle RailCab. Hierarchical optimization is used to combine the module-related optimal operating strategies, which are based on two distinct multiobjective optimizations. A Pareto front of the entire system is presented as a result of the hierarchical optimization. |
| doi_str_mv | 10.1109/INDIN.2012.6301199 |
| format | Conference Proceeding |
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A Pareto front of the entire system is presented as a result of the hierarchical optimization.</description><subject>Acceleration</subject><subject>active suspension</subject><subject>Actuators</subject><subject>air gap adjustment</subject><subject>Computational modeling</subject><subject>efficiency optimization</subject><subject>Force</subject><subject>hierarchical optimization</subject><subject>linear drive</subject><subject>multiobjective optimization</subject><subject>Optimization</subject><subject>RailCab</subject><subject>self-optimization</subject><subject>Suspensions</subject><subject>Vehicles</subject><issn>1935-4576</issn><issn>2378-363X</issn><isbn>9781467303125</isbn><isbn>1467303127</isbn><isbn>1467303100</isbn><isbn>1467303119</isbn><isbn>9781467303118</isbn><isbn>9781467303101</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kMtOwzAURM1LIi39AdjkB1x87d7Yltig8mikqmxAYlc5foBR0kRxWJSvJxJhNYsjjc4MIdfAlgBM35a7h3K35Az4shAMQOsTMoNVIQUTwNgpybiQiopCvJ-RhZbqn3E8JxlogXSFsrgks5S-GEMceUbuNtH3pref0Zo6b7shNvHHDLE95G3Ibfvd1d7lydeBTjAePvJ0TINv0hW5CKZOfjHlnLw9Pb6uN3T78lyu77c0gsSBKq4kBxcQK2dR8QJBBhxHOW-tZ1pV2ltpOSoRRjFfAXLDnQsMZCFtJebk5q83eu_3XR8b0x_30wviF9F1TTg</recordid><startdate>201207</startdate><enddate>201207</enddate><creator>Holscher, C.</creator><creator>Zimmer, D.</creator><creator>Kessler, J. 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H.</creatorcontrib><creatorcontrib>Kruger, M.</creatorcontrib><creatorcontrib>Trachtler, A.</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>IEEE Electronic Library (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>Holscher, C.</au><au>Zimmer, D.</au><au>Kessler, J. H.</au><au>Kruger, M.</au><au>Trachtler, A.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Hierarchical optimization of coupled self-optimizing systems</atitle><btitle>IEEE 10th International Conference on Industrial Informatics</btitle><stitle>INDIN</stitle><date>2012-07</date><risdate>2012</risdate><spage>1080</spage><epage>1085</epage><pages>1080-1085</pages><issn>1935-4576</issn><eissn>2378-363X</eissn><isbn>9781467303125</isbn><isbn>1467303127</isbn><eisbn>1467303100</eisbn><eisbn>1467303119</eisbn><eisbn>9781467303118</eisbn><eisbn>9781467303101</eisbn><abstract>In this work we present an approach for the optimization of distributed test rigs that are coupled only by information processing. Our application examples are an active suspension system and a linear drive with an active air gap adjustment which both represent a module of the rail-bound vehicle RailCab. Hierarchical optimization is used to combine the module-related optimal operating strategies, which are based on two distinct multiobjective optimizations. A Pareto front of the entire system is presented as a result of the hierarchical optimization.</abstract><pub>IEEE</pub><doi>10.1109/INDIN.2012.6301199</doi><tpages>6</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 1935-4576 |
| ispartof | IEEE 10th International Conference on Industrial Informatics, 2012, p.1080-1085 |
| issn | 1935-4576 2378-363X |
| language | eng |
| recordid | cdi_ieee_primary_6301199 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Acceleration active suspension Actuators air gap adjustment Computational modeling efficiency optimization Force hierarchical optimization linear drive multiobjective optimization Optimization RailCab self-optimization Suspensions Vehicles |
| title | Hierarchical optimization of coupled self-optimizing systems |
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