Antenna azimuth position control with fuzzy logic and self-tuning fuzzy logic controllers
In this study, an antenna azimuth position control system is used to be controlled by a classical proportional-integral controller (PI), fuzzy logic controller (FLC) and a self-tuning fuzzy logic controller (STFLC). The proposed self-tuning fuzzy logic controller is designed via Matlab/SIMULINK envi...
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| creator | Okumus, H. Ibrahim Sahin, E. Akyazi, O. |
| description | In this study, an antenna azimuth position control system is used to be controlled by a classical proportional-integral controller (PI), fuzzy logic controller (FLC) and a self-tuning fuzzy logic controller (STFLC). The proposed self-tuning fuzzy logic controller is designed via Matlab/SIMULINK environment in order to tune the scaling factors G 1 and G 2 , the fuzzy gains of the controller inputs error and its change, on-line. Simulation results show that the performance of proposed controller is better than the other controllers in terms of the settling time and overshoot. |
| doi_str_mv | 10.1109/ELECO.2013.6713888 |
| format | Conference Proceeding |
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Simulation results show that the performance of proposed controller is better than the other controllers in terms of the settling time and overshoot.</description><identifier>EISBN: 6050105049</identifier><identifier>EISBN: 9786050105049</identifier><identifier>DOI: 10.1109/ELECO.2013.6713888</identifier><language>eng</language><publisher>The Chamber of Turkish Electrical Engineers-Bursa</publisher><subject>Antennas ; Azimuth ; DC motors ; Fuzzy logic ; Gears ; MATLAB ; Position control</subject><ispartof>2013 8th International Conference on Electrical and Electronics Engineering (ELECO), 2013, p.477-481</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6713888$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6713888$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Okumus, H. 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Simulation results show that the performance of proposed controller is better than the other controllers in terms of the settling time and overshoot.</description><subject>Antennas</subject><subject>Azimuth</subject><subject>DC motors</subject><subject>Fuzzy logic</subject><subject>Gears</subject><subject>MATLAB</subject><subject>Position control</subject><isbn>6050105049</isbn><isbn>9786050105049</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVj81qwzAQhNVDoW2aF2gvegG72sjS2sdg3B8w5NIccgqKvUpVHDlYMiV--gbqSw_DwHzMwDD2BCIFEMVLVVflJl0JkKlGkHme37AHLZSAq7Liji1D-BZCQKFRK7xnu7WP5L3hZnKnMX7xcx9cdL3nTe_j0Hf8x11TO07ThXf90TXc-JYH6mwSR-_88R-bSx0N4ZHdWtMFWs6-YNvX6rN8T-rN20e5rhMHqGICLRYyJ2uUtRbANLnMjGw10oEQlCIJoBAlZNpS1hwsQWaENKiQVlqgXLDnv11HRPvz4E5muOzn9_IXxyhSVg</recordid><startdate>201311</startdate><enddate>201311</enddate><creator>Okumus, H. 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Ibrahim</creatorcontrib><creatorcontrib>Sahin, E.</creatorcontrib><creatorcontrib>Akyazi, O.</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>Okumus, H. Ibrahim</au><au>Sahin, E.</au><au>Akyazi, O.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Antenna azimuth position control with fuzzy logic and self-tuning fuzzy logic controllers</atitle><btitle>2013 8th International Conference on Electrical and Electronics Engineering (ELECO)</btitle><stitle>ELECO</stitle><date>2013-11</date><risdate>2013</risdate><spage>477</spage><epage>481</epage><pages>477-481</pages><eisbn>6050105049</eisbn><eisbn>9786050105049</eisbn><abstract>In this study, an antenna azimuth position control system is used to be controlled by a classical proportional-integral controller (PI), fuzzy logic controller (FLC) and a self-tuning fuzzy logic controller (STFLC). The proposed self-tuning fuzzy logic controller is designed via Matlab/SIMULINK environment in order to tune the scaling factors G 1 and G 2 , the fuzzy gains of the controller inputs error and its change, on-line. Simulation results show that the performance of proposed controller is better than the other controllers in terms of the settling time and overshoot.</abstract><pub>The Chamber of Turkish Electrical Engineers-Bursa</pub><doi>10.1109/ELECO.2013.6713888</doi><tpages>5</tpages></addata></record> |
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| identifier | EISBN: 6050105049 |
| ispartof | 2013 8th International Conference on Electrical and Electronics Engineering (ELECO), 2013, p.477-481 |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Antennas Azimuth DC motors Fuzzy logic Gears MATLAB Position control |
| title | Antenna azimuth position control with fuzzy logic and self-tuning fuzzy logic controllers |
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