Trajectory tracking for an autonomous airship using fuzzy adaptive sliding mode control
We present a novel control approach for trajectory tracking of an autonomous airship. First, the dynamics model and the trajectory control problem of an airship are formulated. Second, the sliding mode control law is designed to track a time-varying reference trajectory. To achieve better control pe...
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| Veröffentlicht in: | Frontiers of information technology & electronic engineering 2012-07, Vol.13 (7), p.534-543 |
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| container_title | Frontiers of information technology & electronic engineering |
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| creator | Yang, Yue-neng Wu, Jie Zheng, Wei |
| description | We present a novel control approach for trajectory tracking of an autonomous airship. First, the dynamics model and the trajectory control problem of an airship are formulated. Second, the sliding mode control law is designed to track a time-varying reference trajectory. To achieve better control performance, fuzzy adaptive sliding mode control is proposed in which the control gains are tuned according to fuzzy rules, and an adaptation law is used to guarantee that the control gains can compensate for model uncertainties of the airship. The stability of the closed-loop control system is proven via the Lyapunov theorem. Finally, simulation results illustrate the effectiveness and robustness of the proposed control scheme. |
| doi_str_mv | 10.1631/jzus.C1100371 |
| format | Article |
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Finally, simulation results illustrate the effectiveness and robustness of the proposed control scheme.</description><identifier>ISSN: 1869-1951</identifier><identifier>ISSN: 2095-9184</identifier><identifier>EISSN: 1869-196X</identifier><identifier>EISSN: 2095-9230</identifier><identifier>DOI: 10.1631/jzus.C1100371</identifier><language>eng</language><publisher>Heidelberg: SP Zhejiang University Press</publisher><subject>Adaptive control ; Airships ; Autonomous ; Closed loops ; Communications Engineering ; Computer Hardware ; Computer Science ; Computer Systems Organization and Communication Networks ; Control theory ; Electrical Engineering ; Electronics and Microelectronics ; Feedback control ; Fuzzy ; Fuzzy control ; Fuzzy logic ; Fuzzy set theory ; Instrumentation ; Networks ; Robust control ; Sliding mode control ; Tracking ; Tracking control ; Trajectories ; Trajectory control</subject><ispartof>Frontiers of information technology & electronic engineering, 2012-07, Vol.13 (7), p.534-543</ispartof><rights>Journal of Zhejiang University Science Editorial Office and Springer-Verlag Berlin Heidelberg 2012</rights><rights>Journal of Zhejiang University Science Editorial Office and Springer-Verlag Berlin Heidelberg 2012.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c363t-82b7e660d4f2750515a6eda6b32bcbad49cf4f675a626aec212ba145ce0dfbd13</citedby><cites>FETCH-LOGICAL-c363t-82b7e660d4f2750515a6eda6b32bcbad49cf4f675a626aec212ba145ce0dfbd13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://image.cqvip.com/vip1000/qk/89589X/89589X.jpg</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1631/jzus.C1100371$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2918723638?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,21388,27924,27925,33744,41488,42557,43805,51319,64385,64389,72469</link.rule.ids></links><search><creatorcontrib>Yang, Yue-neng</creatorcontrib><creatorcontrib>Wu, Jie</creatorcontrib><creatorcontrib>Zheng, Wei</creatorcontrib><title>Trajectory tracking for an autonomous airship using fuzzy adaptive sliding mode control</title><title>Frontiers of information technology & electronic engineering</title><addtitle>J. Zhejiang Univ. - Sci. C</addtitle><addtitle>Journal of zhejiang university science</addtitle><description>We present a novel control approach for trajectory tracking of an autonomous airship. First, the dynamics model and the trajectory control problem of an airship are formulated. Second, the sliding mode control law is designed to track a time-varying reference trajectory. To achieve better control performance, fuzzy adaptive sliding mode control is proposed in which the control gains are tuned according to fuzzy rules, and an adaptation law is used to guarantee that the control gains can compensate for model uncertainties of the airship. The stability of the closed-loop control system is proven via the Lyapunov theorem. Finally, simulation results illustrate the effectiveness and robustness of the proposed control scheme.</description><subject>Adaptive control</subject><subject>Airships</subject><subject>Autonomous</subject><subject>Closed loops</subject><subject>Communications Engineering</subject><subject>Computer Hardware</subject><subject>Computer Science</subject><subject>Computer Systems Organization and Communication Networks</subject><subject>Control theory</subject><subject>Electrical Engineering</subject><subject>Electronics and Microelectronics</subject><subject>Feedback control</subject><subject>Fuzzy</subject><subject>Fuzzy control</subject><subject>Fuzzy logic</subject><subject>Fuzzy set theory</subject><subject>Instrumentation</subject><subject>Networks</subject><subject>Robust control</subject><subject>Sliding mode control</subject><subject>Tracking</subject><subject>Tracking control</subject><subject>Trajectories</subject><subject>Trajectory control</subject><issn>1869-1951</issn><issn>2095-9184</issn><issn>1869-196X</issn><issn>2095-9230</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kN9LwzAQx4soOOYefY_44ktnkzRJ-yjDXzDwZaJvIU3SrbVNuqQVtr_ezM0Jgvdyx93n7r58o-gSJlNIMbytt4OfziBMEszgSTSCGc1jmNP302NN4Hk08b5OQmBCcopH0dvCiVrL3roN6J2QH5VZgtI6IAwQQ2-Nbe3ggaicX1UdGPz3fNhuN0Ao0fXVpwa-qdSu3VqlgbSmd7a5iM5K0Xg9OeRx9Ppwv5g9xfOXx-fZ3TyWmOI-zlDBNKWJSkvESEIgEVQrQQuMClkIleayTEvKQhtRoSWCqBAwJVInqiwUxOPoZn-3c3Y9aN_ztvJSN40wOgjnECOMEMlYGtDrP2htB2eCOo5ymDEUFGWBiveUdNZ7p0veuaoVbsNhwndO853T_MfpwE_3vA-cWWr3e_W_havDg5U1y3XYOX5IEWFBKMNfNtuNrA</recordid><startdate>20120701</startdate><enddate>20120701</enddate><creator>Yang, Yue-neng</creator><creator>Wu, Jie</creator><creator>Zheng, Wei</creator><general>SP Zhejiang University Press</general><general>Springer Nature B.V</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>~WA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>L6V</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>7SC</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20120701</creationdate><title>Trajectory tracking for an autonomous airship using fuzzy adaptive sliding mode control</title><author>Yang, Yue-neng ; Wu, Jie ; Zheng, Wei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c363t-82b7e660d4f2750515a6eda6b32bcbad49cf4f675a626aec212ba145ce0dfbd13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Adaptive control</topic><topic>Airships</topic><topic>Autonomous</topic><topic>Closed loops</topic><topic>Communications Engineering</topic><topic>Computer Hardware</topic><topic>Computer Science</topic><topic>Computer Systems Organization and Communication Networks</topic><topic>Control theory</topic><topic>Electrical Engineering</topic><topic>Electronics and Microelectronics</topic><topic>Feedback control</topic><topic>Fuzzy</topic><topic>Fuzzy control</topic><topic>Fuzzy logic</topic><topic>Fuzzy set theory</topic><topic>Instrumentation</topic><topic>Networks</topic><topic>Robust control</topic><topic>Sliding mode control</topic><topic>Tracking</topic><topic>Tracking control</topic><topic>Trajectories</topic><topic>Trajectory control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yang, Yue-neng</creatorcontrib><creatorcontrib>Wu, Jie</creatorcontrib><creatorcontrib>Zheng, Wei</creatorcontrib><collection>中文科技期刊数据库</collection><collection>中文科技期刊数据库-CALIS站点</collection><collection>中文科技期刊数据库-7.0平台</collection><collection>中文科技期刊数据库- 镜像站点</collection><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace 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>Engineering Collection</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>Aerospace Database</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>Frontiers of information technology & electronic engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yang, Yue-neng</au><au>Wu, Jie</au><au>Zheng, Wei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Trajectory tracking for an autonomous airship using fuzzy adaptive sliding mode control</atitle><jtitle>Frontiers of information technology & electronic engineering</jtitle><stitle>J. Zhejiang Univ. - Sci. C</stitle><addtitle>Journal of zhejiang university science</addtitle><date>2012-07-01</date><risdate>2012</risdate><volume>13</volume><issue>7</issue><spage>534</spage><epage>543</epage><pages>534-543</pages><issn>1869-1951</issn><issn>2095-9184</issn><eissn>1869-196X</eissn><eissn>2095-9230</eissn><abstract>We present a novel control approach for trajectory tracking of an autonomous airship. First, the dynamics model and the trajectory control problem of an airship are formulated. Second, the sliding mode control law is designed to track a time-varying reference trajectory. To achieve better control performance, fuzzy adaptive sliding mode control is proposed in which the control gains are tuned according to fuzzy rules, and an adaptation law is used to guarantee that the control gains can compensate for model uncertainties of the airship. The stability of the closed-loop control system is proven via the Lyapunov theorem. 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| subjects | Adaptive control Airships Autonomous Closed loops Communications Engineering Computer Hardware Computer Science Computer Systems Organization and Communication Networks Control theory Electrical Engineering Electronics and Microelectronics Feedback control Fuzzy Fuzzy control Fuzzy logic Fuzzy set theory Instrumentation Networks Robust control Sliding mode control Tracking Tracking control Trajectories Trajectory control |
| title | Trajectory tracking for an autonomous airship using fuzzy adaptive sliding mode control |
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