Motion Control of Mobile Robot Based on Immune Clonal Algorithm Evolved by Virus
To solve the motion control of mobile robot, a PID control optimized by improved immune clonal algorithm is presented. On the basis of immune clonal algorithm, a new virus evolutionary clonal algorithm (VECA) is provided firstly. The VECA focuses on the virus infection of population after immune mut...
Gespeichert in:
Veröffentlicht in: | Applied Mechanics and Materials 2012-01, Vol.143-144, p.269-273 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 273 |
---|---|
container_issue | |
container_start_page | 269 |
container_title | Applied Mechanics and Materials |
container_volume | 143-144 |
creator | Yuan, Ming Xin Ye, Zhao Li Chen, Juan Wang, Qi Shen, Yi |
description | To solve the motion control of mobile robot, a PID control optimized by improved immune clonal algorithm is presented. On the basis of immune clonal algorithm, a new virus evolutionary clonal algorithm (VECA) is provided firstly. The VECA focuses on the virus infection of population after immune mutation, which improves the population diversity and strengths the local search ability of immune clonal algorithm. Then the proposed VECA is used to optimize the algorithm parameters of PID control strategy for the robot motion. The simulation results show that VECA can realize the optimization of PID parameters and improve the control precision of path track. |
doi_str_mv | 10.4028/www.scientific.net/AMM.143-144.269 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_1443000419</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3103116981</sourcerecordid><originalsourceid>FETCH-LOGICAL-c303t-8eb674a279b72f5405c4d089a3ac52d524883f07a6492eca574d633396b733a93</originalsourceid><addsrcrecordid>eNqNkF1PwjAUQBs_EhX5D018M9no19ruERCVBKIx6mvTjU5GxoptB-HfW8REH326D_fk3JsDwC1GKUNEDna7XerL2rShruoybU0YDOfzFDOaYMZSwvMTcIk5J4lgkpyCfi4kRVTIjGKcnX3vUJJTyi_AlfcrhDjDTF6C57kNtW3h2LbB2QbaCs5tUTcGvtjCBjjS3ixgBKbrddcaOG5sqxs4bD6sq8NyDSdb22wjUuzhe-06fw3OK9140_-ZPfB2P3kdPyazp4fpeDhLyvhXSKQpuGCaiLwQpMoYykq2QDLXVJcZWWSESUkrJDRnOTGlzgRbcEppzgtBqc5pD9wcvRtnPzvjg1rZzsXfvIpFKEKI4QM1OlKls947U6mNq9fa7RVG6lBWxbLqt6yKZVUsGx304FGxbJTcHSXB6dYHUy7_3Pq_5gt0FIfU</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1443000419</pqid></control><display><type>article</type><title>Motion Control of Mobile Robot Based on Immune Clonal Algorithm Evolved by Virus</title><source>Scientific.net Journals</source><creator>Yuan, Ming Xin ; Ye, Zhao Li ; Chen, Juan ; Wang, Qi ; Shen, Yi</creator><creatorcontrib>Yuan, Ming Xin ; Ye, Zhao Li ; Chen, Juan ; Wang, Qi ; Shen, Yi</creatorcontrib><description>To solve the motion control of mobile robot, a PID control optimized by improved immune clonal algorithm is presented. On the basis of immune clonal algorithm, a new virus evolutionary clonal algorithm (VECA) is provided firstly. The VECA focuses on the virus infection of population after immune mutation, which improves the population diversity and strengths the local search ability of immune clonal algorithm. Then the proposed VECA is used to optimize the algorithm parameters of PID control strategy for the robot motion. The simulation results show that VECA can realize the optimization of PID parameters and improve the control precision of path track.</description><identifier>ISSN: 1660-9336</identifier><identifier>ISSN: 1662-7482</identifier><identifier>ISBN: 9783037853115</identifier><identifier>ISBN: 3037853115</identifier><identifier>EISSN: 1662-7482</identifier><identifier>DOI: 10.4028/www.scientific.net/AMM.143-144.269</identifier><language>eng</language><publisher>Zurich: Trans Tech Publications Ltd</publisher><ispartof>Applied Mechanics and Materials, 2012-01, Vol.143-144, p.269-273</ispartof><rights>2012 Trans Tech Publications Ltd</rights><rights>Copyright Trans Tech Publications Ltd. Dec 2011</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c303t-8eb674a279b72f5405c4d089a3ac52d524883f07a6492eca574d633396b733a93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttps://www.scientific.net/Image/TitleCover/1548?width=600</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Yuan, Ming Xin</creatorcontrib><creatorcontrib>Ye, Zhao Li</creatorcontrib><creatorcontrib>Chen, Juan</creatorcontrib><creatorcontrib>Wang, Qi</creatorcontrib><creatorcontrib>Shen, Yi</creatorcontrib><title>Motion Control of Mobile Robot Based on Immune Clonal Algorithm Evolved by Virus</title><title>Applied Mechanics and Materials</title><description>To solve the motion control of mobile robot, a PID control optimized by improved immune clonal algorithm is presented. On the basis of immune clonal algorithm, a new virus evolutionary clonal algorithm (VECA) is provided firstly. The VECA focuses on the virus infection of population after immune mutation, which improves the population diversity and strengths the local search ability of immune clonal algorithm. Then the proposed VECA is used to optimize the algorithm parameters of PID control strategy for the robot motion. The simulation results show that VECA can realize the optimization of PID parameters and improve the control precision of path track.</description><issn>1660-9336</issn><issn>1662-7482</issn><issn>1662-7482</issn><isbn>9783037853115</isbn><isbn>3037853115</isbn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqNkF1PwjAUQBs_EhX5D018M9no19ruERCVBKIx6mvTjU5GxoptB-HfW8REH326D_fk3JsDwC1GKUNEDna7XerL2rShruoybU0YDOfzFDOaYMZSwvMTcIk5J4lgkpyCfi4kRVTIjGKcnX3vUJJTyi_AlfcrhDjDTF6C57kNtW3h2LbB2QbaCs5tUTcGvtjCBjjS3ixgBKbrddcaOG5sqxs4bD6sq8NyDSdb22wjUuzhe-06fw3OK9140_-ZPfB2P3kdPyazp4fpeDhLyvhXSKQpuGCaiLwQpMoYykq2QDLXVJcZWWSESUkrJDRnOTGlzgRbcEppzgtBqc5pD9wcvRtnPzvjg1rZzsXfvIpFKEKI4QM1OlKls947U6mNq9fa7RVG6lBWxbLqt6yKZVUsGx304FGxbJTcHSXB6dYHUy7_3Pq_5gt0FIfU</recordid><startdate>20120101</startdate><enddate>20120101</enddate><creator>Yuan, Ming Xin</creator><creator>Ye, Zhao Li</creator><creator>Chen, Juan</creator><creator>Wang, Qi</creator><creator>Shen, Yi</creator><general>Trans Tech Publications Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>7TB</scope><scope>8BQ</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BFMQW</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>KB.</scope><scope>KR7</scope><scope>L6V</scope><scope>M7S</scope><scope>PDBOC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20120101</creationdate><title>Motion Control of Mobile Robot Based on Immune Clonal Algorithm Evolved by Virus</title><author>Yuan, Ming Xin ; Ye, Zhao Li ; Chen, Juan ; Wang, Qi ; Shen, Yi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c303t-8eb674a279b72f5405c4d089a3ac52d524883f07a6492eca574d633396b733a93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yuan, Ming Xin</creatorcontrib><creatorcontrib>Ye, Zhao Li</creatorcontrib><creatorcontrib>Chen, Juan</creatorcontrib><creatorcontrib>Wang, Qi</creatorcontrib><creatorcontrib>Shen, Yi</creatorcontrib><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>METADEX</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>ProQuest Central</collection><collection>Continental Europe Database</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>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>Materials Science Database</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Materials Science Collection</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>Applied Mechanics and Materials</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yuan, Ming Xin</au><au>Ye, Zhao Li</au><au>Chen, Juan</au><au>Wang, Qi</au><au>Shen, Yi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Motion Control of Mobile Robot Based on Immune Clonal Algorithm Evolved by Virus</atitle><jtitle>Applied Mechanics and Materials</jtitle><date>2012-01-01</date><risdate>2012</risdate><volume>143-144</volume><spage>269</spage><epage>273</epage><pages>269-273</pages><issn>1660-9336</issn><issn>1662-7482</issn><eissn>1662-7482</eissn><isbn>9783037853115</isbn><isbn>3037853115</isbn><abstract>To solve the motion control of mobile robot, a PID control optimized by improved immune clonal algorithm is presented. On the basis of immune clonal algorithm, a new virus evolutionary clonal algorithm (VECA) is provided firstly. The VECA focuses on the virus infection of population after immune mutation, which improves the population diversity and strengths the local search ability of immune clonal algorithm. Then the proposed VECA is used to optimize the algorithm parameters of PID control strategy for the robot motion. The simulation results show that VECA can realize the optimization of PID parameters and improve the control precision of path track.</abstract><cop>Zurich</cop><pub>Trans Tech Publications Ltd</pub><doi>10.4028/www.scientific.net/AMM.143-144.269</doi><tpages>5</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1660-9336 |
ispartof | Applied Mechanics and Materials, 2012-01, Vol.143-144, p.269-273 |
issn | 1660-9336 1662-7482 1662-7482 |
language | eng |
recordid | cdi_proquest_journals_1443000419 |
source | Scientific.net Journals |
title | Motion Control of Mobile Robot Based on Immune Clonal Algorithm Evolved by Virus |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T23%3A58%3A52IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Motion%20Control%20of%20Mobile%20Robot%20Based%20on%20Immune%20Clonal%20Algorithm%20Evolved%20by%20Virus&rft.jtitle=Applied%20Mechanics%20and%20Materials&rft.au=Yuan,%20Ming%20Xin&rft.date=2012-01-01&rft.volume=143-144&rft.spage=269&rft.epage=273&rft.pages=269-273&rft.issn=1660-9336&rft.eissn=1662-7482&rft.isbn=9783037853115&rft.isbn_list=3037853115&rft_id=info:doi/10.4028/www.scientific.net/AMM.143-144.269&rft_dat=%3Cproquest_cross%3E3103116981%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1443000419&rft_id=info:pmid/&rfr_iscdi=true |