Model Based Optimum Pid Gain Design of Adaptive Front Lighting System
Adaptive Front-Lighting System (AFLS) is a system which assists driver's field of vision by automatically controlling its brightness and illumination angle to adapt various driving conditions such as climate, traffic, road changes and so forth. This paper aims to propose novel model-based PID g...
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Veröffentlicht in: | International journal of automotive technology 2018-10, Vol.19 (5), p.923-933 |
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creator | Park, Shin Hyun Im, Byeong Uk Park, Dong Kyou |
description | Adaptive Front-Lighting System (AFLS) is a system which assists driver's field of vision by automatically controlling its brightness and illumination angle to adapt various driving conditions such as climate, traffic, road changes and so forth. This paper aims to propose novel model-based PID gain design method to improve the performances of Dynamic Bending Light (DBL) module that change horizontal angle of a system by applying Brent-Dekker algorithm that finds the root of nonlinear function and implementing Nelder-Mead simplex algorithm to the system reduction process. Along with the linear system model-based control theory, motor dynamics were modeled with frequency response. Validation of the prototype resulted in having less than 3 % error from the simulation, where position initialization and the real-time status monitoring function is available due to the closed loop control which enables over 3 times faster response than the conventional open-loop system. |
doi_str_mv | 10.1007/s12239-018-0089-x |
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Validation of the prototype resulted in having less than 3 % error from the simulation, where position initialization and the real-time status monitoring function is available due to the closed loop control which enables over 3 times faster response than the conventional open-loop system.</description><identifier>ISSN: 1229-9138</identifier><identifier>EISSN: 1976-3832</identifier><identifier>DOI: 10.1007/s12239-018-0089-x</identifier><language>eng</language><publisher>Seoul: The Korean Society of Automotive Engineers</publisher><subject>Adaptive systems ; Algorithms ; Automotive Engineering ; Closed loops ; Control theory ; Driving conditions ; Engineering ; Frequency response ; Illumination ; Lighting ; Lighting systems</subject><ispartof>International journal of automotive technology, 2018-10, Vol.19 (5), p.923-933</ispartof><rights>The Korean Society of Automotive Engineers and Springer-Verlag GmbH Germany, part of Springer Nature 2018</rights><rights>The Korean Society of Automotive Engineers and Springer-Verlag GmbH Germany, part of Springer Nature 2018.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-f0697e995665185c835ad2f7951d226720c398d3095b865ef02ac184b4f940ba3</citedby><cites>FETCH-LOGICAL-c316t-f0697e995665185c835ad2f7951d226720c398d3095b865ef02ac184b4f940ba3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12239-018-0089-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12239-018-0089-x$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51297</link.rule.ids></links><search><creatorcontrib>Park, Shin Hyun</creatorcontrib><creatorcontrib>Im, Byeong Uk</creatorcontrib><creatorcontrib>Park, Dong Kyou</creatorcontrib><title>Model Based Optimum Pid Gain Design of Adaptive Front Lighting System</title><title>International journal of automotive technology</title><addtitle>Int.J Automot. Technol</addtitle><description>Adaptive Front-Lighting System (AFLS) is a system which assists driver's field of vision by automatically controlling its brightness and illumination angle to adapt various driving conditions such as climate, traffic, road changes and so forth. This paper aims to propose novel model-based PID gain design method to improve the performances of Dynamic Bending Light (DBL) module that change horizontal angle of a system by applying Brent-Dekker algorithm that finds the root of nonlinear function and implementing Nelder-Mead simplex algorithm to the system reduction process. Along with the linear system model-based control theory, motor dynamics were modeled with frequency response. Validation of the prototype resulted in having less than 3 % error from the simulation, where position initialization and the real-time status monitoring function is available due to the closed loop control which enables over 3 times faster response than the conventional open-loop system.</description><subject>Adaptive systems</subject><subject>Algorithms</subject><subject>Automotive Engineering</subject><subject>Closed loops</subject><subject>Control theory</subject><subject>Driving conditions</subject><subject>Engineering</subject><subject>Frequency response</subject><subject>Illumination</subject><subject>Lighting</subject><subject>Lighting systems</subject><issn>1229-9138</issn><issn>1976-3832</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kMFKAzEQhoMoWKsP4C3gOTpJNtnkWKutQqWCeg7pJrumdHdrspX27d2ygidPMzDf_w98CF1TuKUA-V2ijHFNgCoCoDTZn6AR1bkkXHF22u-MaaIpV-foIqU1gJCUwwg9vrTOb_C9Td7h5bYL9a7Gr8HhuQ0NfvApVA1uSzxxtj9-ezyLbdPhRag-u9BU-O2QOl9forPSbpK_-p1j9DF7fJ8-kcVy_jydLEjBqexICVLnXmshpaBKFIoL61iZa0EdYzJnUHCtHActVkoKXwKzBVXZKit1BivLx-hm6N3G9mvnU2fW7S42_UvDslxRqUBAT9GBKmKbUvSl2cZQ23gwFMzRlhlsmd6WOdoy-z7Dhkzq2aby8a_5_9APiGFq2A</recordid><startdate>20181001</startdate><enddate>20181001</enddate><creator>Park, Shin Hyun</creator><creator>Im, Byeong Uk</creator><creator>Park, Dong Kyou</creator><general>The Korean Society of Automotive Engineers</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TB</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>88I</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>KB.</scope><scope>L.-</scope><scope>M0C</scope><scope>M2P</scope><scope>PDBOC</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>20181001</creationdate><title>Model Based Optimum Pid Gain Design of Adaptive Front Lighting System</title><author>Park, Shin Hyun ; Im, Byeong Uk ; Park, Dong Kyou</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-f0697e995665185c835ad2f7951d226720c398d3095b865ef02ac184b4f940ba3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Adaptive systems</topic><topic>Algorithms</topic><topic>Automotive Engineering</topic><topic>Closed loops</topic><topic>Control theory</topic><topic>Driving conditions</topic><topic>Engineering</topic><topic>Frequency response</topic><topic>Illumination</topic><topic>Lighting</topic><topic>Lighting systems</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Park, Shin Hyun</creatorcontrib><creatorcontrib>Im, Byeong Uk</creatorcontrib><creatorcontrib>Park, Dong Kyou</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Materials Science Database</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>Science Database</collection><collection>Materials Science Collection</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</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 Basic</collection><jtitle>International journal of automotive technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Park, Shin Hyun</au><au>Im, Byeong Uk</au><au>Park, Dong Kyou</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Model Based Optimum Pid Gain Design of Adaptive Front Lighting System</atitle><jtitle>International journal of automotive technology</jtitle><stitle>Int.J Automot. Technol</stitle><date>2018-10-01</date><risdate>2018</risdate><volume>19</volume><issue>5</issue><spage>923</spage><epage>933</epage><pages>923-933</pages><issn>1229-9138</issn><eissn>1976-3832</eissn><abstract>Adaptive Front-Lighting System (AFLS) is a system which assists driver's field of vision by automatically controlling its brightness and illumination angle to adapt various driving conditions such as climate, traffic, road changes and so forth. This paper aims to propose novel model-based PID gain design method to improve the performances of Dynamic Bending Light (DBL) module that change horizontal angle of a system by applying Brent-Dekker algorithm that finds the root of nonlinear function and implementing Nelder-Mead simplex algorithm to the system reduction process. Along with the linear system model-based control theory, motor dynamics were modeled with frequency response. Validation of the prototype resulted in having less than 3 % error from the simulation, where position initialization and the real-time status monitoring function is available due to the closed loop control which enables over 3 times faster response than the conventional open-loop system.</abstract><cop>Seoul</cop><pub>The Korean Society of Automotive Engineers</pub><doi>10.1007/s12239-018-0089-x</doi><tpages>11</tpages></addata></record> |
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subjects | Adaptive systems Algorithms Automotive Engineering Closed loops Control theory Driving conditions Engineering Frequency response Illumination Lighting Lighting systems |
title | Model Based Optimum Pid Gain Design of Adaptive Front Lighting System |
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