{"title":"基于神经网络自适应反演的飞机可重构控制设计","authors":"Kai Liu, Jihong Zhu, Yong Fan","doi":"10.1109/WCICA.2011.5970551","DOIUrl":null,"url":null,"abstract":"Reconfigurable flight control could maintain the safety and performance of aircraft under failure or damage situation. In this paper, aircraft reconfigurable control is designed using NN based adaptive backstepping method. Backstepping is used to build the baseline control law. The model changes due to failures or damage are considered as modeling errors and identified online using B-spline neural networks. Closed-loop stability is guaranteed through the backstepping design and update laws of the network weights. The requirement for aircraft model under which the reconfiguration is realizable is given. Based on this, the feasibility of control reconfiguration is analyzed. Simulation results show the effectiveness of the control law.","PeriodicalId":211049,"journal":{"name":"2011 9th World Congress on Intelligent Control and Automation","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"NN adaptive backstepping based aircraft reconfigurable control design\",\"authors\":\"Kai Liu, Jihong Zhu, Yong Fan\",\"doi\":\"10.1109/WCICA.2011.5970551\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Reconfigurable flight control could maintain the safety and performance of aircraft under failure or damage situation. In this paper, aircraft reconfigurable control is designed using NN based adaptive backstepping method. Backstepping is used to build the baseline control law. The model changes due to failures or damage are considered as modeling errors and identified online using B-spline neural networks. Closed-loop stability is guaranteed through the backstepping design and update laws of the network weights. The requirement for aircraft model under which the reconfiguration is realizable is given. Based on this, the feasibility of control reconfiguration is analyzed. Simulation results show the effectiveness of the control law.\",\"PeriodicalId\":211049,\"journal\":{\"name\":\"2011 9th World Congress on Intelligent Control and Automation\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 9th World Congress on Intelligent Control and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WCICA.2011.5970551\",\"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 9th World Congress on Intelligent Control and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCICA.2011.5970551","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
NN adaptive backstepping based aircraft reconfigurable control design
Reconfigurable flight control could maintain the safety and performance of aircraft under failure or damage situation. In this paper, aircraft reconfigurable control is designed using NN based adaptive backstepping method. Backstepping is used to build the baseline control law. The model changes due to failures or damage are considered as modeling errors and identified online using B-spline neural networks. Closed-loop stability is guaranteed through the backstepping design and update laws of the network weights. The requirement for aircraft model under which the reconfiguration is realizable is given. Based on this, the feasibility of control reconfiguration is analyzed. Simulation results show the effectiveness of the control law.
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