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  1. National Taiwan Ocean University Research Hub
  2. 電機資訊學院
  3. 通訊與導航工程學系
Please use this identifier to cite or link to this item: http://scholars.ntou.edu.tw/handle/123456789/18076
DC FieldValueLanguage
dc.contributor.authorJih-Gau Juangen_US
dc.contributor.authorShuai-Ting Yuen_US
dc.date.accessioned2021-10-28T07:57:02Z-
dc.date.available2021-10-28T07:57:02Z-
dc.date.issued2015-
dc.identifier.isbn1662-7482-
dc.identifier.urihttp://scholars.ntou.edu.tw/handle/123456789/18076-
dc.description.abstractThis paper presents sliding mode control (SMC) to aircraft automatic landing system (ALS), and uses genetic algorithm (GA), particle swarm optimization (PSO) and chaos particle swarm optimization (CPSO) to adjust controller parameters. When wind shear is encountered, the aircraft automatic landing system can not be used in such environment during serious wind speed changes. The proposed intelligent control scheme can help the pilots guide the aircraft to a safe landing in wind shear condition. PID control and cerebella model articulation controller (CMAC) are applied to the controller design.en_US
dc.language.isoenen_US
dc.relation.ispartofApplied Mechanics and Materialsen_US
dc.titleA Hybrid Intelligent System for Wind Shear Encountered Aircraft Landing Controlen_US
dc.typejournal articleen_US
dc.identifier.doi10.4028/www.scientific.net/AMM.764-765.592-
dc.relation.journalvolume764en_US
dc.relation.pages592-596en_US
item.openairetypejournal article-
item.fulltextno fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.languageiso639-1en-
crisitem.author.deptCollege of Electrical Engineering and Computer Science-
crisitem.author.deptDepartment of Communications, Navigation and Control Engineering-
crisitem.author.deptNational Taiwan Ocean University,NTOU-
crisitem.author.parentorgNational Taiwan Ocean University,NTOU-
crisitem.author.parentorgCollege of Electrical Engineering and Computer Science-
Appears in Collections:通訊與導航工程學系
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