On the robustness of fuzzy control of an overhead crane
This paper presents the robustness analysis of a fuzzy logic control (FLC) system of the crab of an overhead crane. The proposed control system has two independent feedback loops: the conventional proportional (P) regulator is used to stabilise crane velocity, while the fuzzy proportional-derivative...
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| creator | Nowacki, Z. Owczarz, D. Wozniak, P. |
| description | This paper presents the robustness analysis of a fuzzy logic control (FLC) system of the crab of an overhead crane. The proposed control system has two independent feedback loops: the conventional proportional (P) regulator is used to stabilise crane velocity, while the fuzzy proportional-derivative (PD) controller has been designed to improve damping of the load angle changes during operation at the maximum travelling speed and after the crane stops. Robustness of the system is crucial because the system parameters change under normal operating conditions. Improved robustness of the proposed FLC system may be explained on the basis of the variable structure control theory. The fuzzy control of the nonlinear second order system is designed with a two-dimensional phase plane in mind. We show that the robustness results from the FLC property of driving the system into the sliding mode. |
| doi_str_mv | 10.1109/ISIE.1996.548527 |
| format | Conference Proceeding |
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The proposed control system has two independent feedback loops: the conventional proportional (P) regulator is used to stabilise crane velocity, while the fuzzy proportional-derivative (PD) controller has been designed to improve damping of the load angle changes during operation at the maximum travelling speed and after the crane stops. Robustness of the system is crucial because the system parameters change under normal operating conditions. Improved robustness of the proposed FLC system may be explained on the basis of the variable structure control theory. The fuzzy control of the nonlinear second order system is designed with a two-dimensional phase plane in mind. We show that the robustness results from the FLC property of driving the system into the sliding mode.</description><identifier>ISBN: 0780333349</identifier><identifier>ISBN: 9780780333345</identifier><identifier>DOI: 10.1109/ISIE.1996.548527</identifier><language>eng</language><publisher>IEEE</publisher><subject>Control systems ; Cranes ; Feedback loop ; Fuzzy control ; Fuzzy logic ; PD control ; Proportional control ; Robust control ; Robustness ; Velocity control</subject><ispartof>Proceedings of IEEE International Symposium on Industrial Electronics, 1996, Vol.1, p.433-437 vol.1</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c217t-d8ab840c04a85841f3a6215a61b5781ace4935b449acccca07409a97070f37043</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/548527$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>310,311,781,785,790,791,2059,4051,4052,27926,54921</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/548527$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Nowacki, Z.</creatorcontrib><creatorcontrib>Owczarz, D.</creatorcontrib><creatorcontrib>Wozniak, P.</creatorcontrib><title>On the robustness of fuzzy control of an overhead crane</title><title>Proceedings of IEEE International Symposium on Industrial Electronics</title><addtitle>ISIE</addtitle><description>This paper presents the robustness analysis of a fuzzy logic control (FLC) system of the crab of an overhead crane. The proposed control system has two independent feedback loops: the conventional proportional (P) regulator is used to stabilise crane velocity, while the fuzzy proportional-derivative (PD) controller has been designed to improve damping of the load angle changes during operation at the maximum travelling speed and after the crane stops. Robustness of the system is crucial because the system parameters change under normal operating conditions. Improved robustness of the proposed FLC system may be explained on the basis of the variable structure control theory. The fuzzy control of the nonlinear second order system is designed with a two-dimensional phase plane in mind. We show that the robustness results from the FLC property of driving the system into the sliding mode.</description><subject>Control systems</subject><subject>Cranes</subject><subject>Feedback loop</subject><subject>Fuzzy control</subject><subject>Fuzzy logic</subject><subject>PD control</subject><subject>Proportional control</subject><subject>Robust control</subject><subject>Robustness</subject><subject>Velocity control</subject><isbn>0780333349</isbn><isbn>9780780333345</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1996</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotz0FLAzEQBeCACNXae_GUP7DrzGaySY5Sqi4UelDPZTbN0krNSrIV2l_vSvtdHrzDgyfEHKFEBPfUvDfLEp2rS01WV-ZG3IOxoEbkJmKW8xeMSGMFeCfMOsphF2Tq22MeYshZ9p3sjufzSfo-Dqk__BccZf8b0i7wVvrEMTyI244POcyuORWfL8uPxVuxWr82i-dV4Ss0Q7G13FoCD8RWW8JOcV2h5hpbbSyyD-SUbokc-xGDIXDsDBjolAFSU_F42d2HEDY_af_N6bS5XFN_RBdDCg</recordid><startdate>1996</startdate><enddate>1996</enddate><creator>Nowacki, Z.</creator><creator>Owczarz, D.</creator><creator>Wozniak, P.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1996</creationdate><title>On the robustness of fuzzy control of an overhead crane</title><author>Nowacki, Z. ; Owczarz, D. ; Wozniak, P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c217t-d8ab840c04a85841f3a6215a61b5781ace4935b449acccca07409a97070f37043</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1996</creationdate><topic>Control systems</topic><topic>Cranes</topic><topic>Feedback loop</topic><topic>Fuzzy control</topic><topic>Fuzzy logic</topic><topic>PD control</topic><topic>Proportional control</topic><topic>Robust control</topic><topic>Robustness</topic><topic>Velocity control</topic><toplevel>online_resources</toplevel><creatorcontrib>Nowacki, Z.</creatorcontrib><creatorcontrib>Owczarz, D.</creatorcontrib><creatorcontrib>Wozniak, P.</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>Nowacki, Z.</au><au>Owczarz, D.</au><au>Wozniak, P.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>On the robustness of fuzzy control of an overhead crane</atitle><btitle>Proceedings of IEEE International Symposium on Industrial Electronics</btitle><stitle>ISIE</stitle><date>1996</date><risdate>1996</risdate><volume>1</volume><spage>433</spage><epage>437 vol.1</epage><pages>433-437 vol.1</pages><isbn>0780333349</isbn><isbn>9780780333345</isbn><abstract>This paper presents the robustness analysis of a fuzzy logic control (FLC) system of the crab of an overhead crane. The proposed control system has two independent feedback loops: the conventional proportional (P) regulator is used to stabilise crane velocity, while the fuzzy proportional-derivative (PD) controller has been designed to improve damping of the load angle changes during operation at the maximum travelling speed and after the crane stops. Robustness of the system is crucial because the system parameters change under normal operating conditions. Improved robustness of the proposed FLC system may be explained on the basis of the variable structure control theory. The fuzzy control of the nonlinear second order system is designed with a two-dimensional phase plane in mind. We show that the robustness results from the FLC property of driving the system into the sliding mode.</abstract><pub>IEEE</pub><doi>10.1109/ISIE.1996.548527</doi></addata></record> |
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| ispartof | Proceedings of IEEE International Symposium on Industrial Electronics, 1996, Vol.1, p.433-437 vol.1 |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Control systems Cranes Feedback loop Fuzzy control Fuzzy logic PD control Proportional control Robust control Robustness Velocity control |
| title | On the robustness of fuzzy control of an overhead crane |
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