{"title":"无人机自适应飞行控制设计","authors":"Li Gao, Wen-hai Wu, Siyu Zhou","doi":"10.1109/ICICTA.2011.97","DOIUrl":null,"url":null,"abstract":"In this paper we use L1 adaptive controller to augment a baseline for improved command tracking of the unmanned aerial vehicle. The procedure included baseline and adaptive augmentation controllers design. The eigenstructure assignment (EA) controller was designed for the nominal case, and then was augmented with a L1 adaptive controller. The L1 adaptive control methodology offered an adaptive contributor to compensate unknown uncertainties and modeled errors. The proposed adaptive systematic framework has satisfactory performance both in transient and steady state, as well as error signals remain bounded. The simulation results demonstrate the adaptation scheme can improve transient command tracking performance, even in the presence of system uncertainties, and unmatched disturbances.","PeriodicalId":368130,"journal":{"name":"2011 Fourth International Conference on Intelligent Computation Technology and Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Adaptive Flight Control Design for the Unmanned Aerial Vehicles\",\"authors\":\"Li Gao, Wen-hai Wu, Siyu Zhou\",\"doi\":\"10.1109/ICICTA.2011.97\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we use L1 adaptive controller to augment a baseline for improved command tracking of the unmanned aerial vehicle. The procedure included baseline and adaptive augmentation controllers design. The eigenstructure assignment (EA) controller was designed for the nominal case, and then was augmented with a L1 adaptive controller. The L1 adaptive control methodology offered an adaptive contributor to compensate unknown uncertainties and modeled errors. The proposed adaptive systematic framework has satisfactory performance both in transient and steady state, as well as error signals remain bounded. The simulation results demonstrate the adaptation scheme can improve transient command tracking performance, even in the presence of system uncertainties, and unmatched disturbances.\",\"PeriodicalId\":368130,\"journal\":{\"name\":\"2011 Fourth International Conference on Intelligent Computation Technology and Automation\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-03-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Fourth International Conference on Intelligent Computation Technology and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICTA.2011.97\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Fourth International Conference on Intelligent Computation Technology and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICTA.2011.97","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive Flight Control Design for the Unmanned Aerial Vehicles
In this paper we use L1 adaptive controller to augment a baseline for improved command tracking of the unmanned aerial vehicle. The procedure included baseline and adaptive augmentation controllers design. The eigenstructure assignment (EA) controller was designed for the nominal case, and then was augmented with a L1 adaptive controller. The L1 adaptive control methodology offered an adaptive contributor to compensate unknown uncertainties and modeled errors. The proposed adaptive systematic framework has satisfactory performance both in transient and steady state, as well as error signals remain bounded. The simulation results demonstrate the adaptation scheme can improve transient command tracking performance, even in the presence of system uncertainties, and unmatched disturbances.