{"title":"A partition method for UAV's envelope based on fuzzy clustering","authors":"Zhao Saifeng, Li Xiujuan, Lin Chuntao","doi":"10.1109/CGNCC.2016.7828866","DOIUrl":null,"url":null,"abstract":"In this paper, a partition method for envelope based on fuzzy clustering is designed to obtain the typical operating points as well as the interpolation mechanism of gain scheduling according to the comparability of the dynamic characteristics and the maneuverability in some partial flight regions. In order to get the most reasonable partition result, the index of clustering evaluation is chosen which divides the flight envelope into several sub envelope with similar characteristics. This approach provides the basis for gain scheduling and reduces the difficulty of the design of the flight control law at the same time.","PeriodicalId":426650,"journal":{"name":"2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC)","volume":"160 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CGNCC.2016.7828866","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, a partition method for envelope based on fuzzy clustering is designed to obtain the typical operating points as well as the interpolation mechanism of gain scheduling according to the comparability of the dynamic characteristics and the maneuverability in some partial flight regions. In order to get the most reasonable partition result, the index of clustering evaluation is chosen which divides the flight envelope into several sub envelope with similar characteristics. This approach provides the basis for gain scheduling and reduces the difficulty of the design of the flight control law at the same time.