K. Lee, Chi-Ho Lee, Jong-Hwan Kim, Han-Lim Choi, M. Tahk
{"title":"Evolutionary optimized pitching motion control for F-16 aircraft","authors":"K. Lee, Chi-Ho Lee, Jong-Hwan Kim, Han-Lim Choi, M. Tahk","doi":"10.1109/CEC.2002.1004540","DOIUrl":null,"url":null,"abstract":"A controller to stabilize F-16 aircraft flying with a steady state around the altitude of 25,000 ft is considered. The nonlinear pitching motion model of F-16 is linearized in the range of the flight envelope of velocity vs. altitude. Then the statically unstable system is stabilized by applying feedback linearization. As the gain-scheduling method is introduced at various operating points within the flight envelope, the optimized controller is designed all over the envelope. Evolutionary Optimization based on Lagrangian (Evolian II) is used to optimize the controller gains P and I satisfying complex nonlinear constraints.","PeriodicalId":184547,"journal":{"name":"Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEC.2002.1004540","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
A controller to stabilize F-16 aircraft flying with a steady state around the altitude of 25,000 ft is considered. The nonlinear pitching motion model of F-16 is linearized in the range of the flight envelope of velocity vs. altitude. Then the statically unstable system is stabilized by applying feedback linearization. As the gain-scheduling method is introduced at various operating points within the flight envelope, the optimized controller is designed all over the envelope. Evolutionary Optimization based on Lagrangian (Evolian II) is used to optimize the controller gains P and I satisfying complex nonlinear constraints.