{"title":"基于L2扰动衰减法的AUV鲁棒潜水控制","authors":"Hongjian Wang, Ziyin Chen, X. Bian, Heming Jia","doi":"10.1109/WCICA.2012.6358091","DOIUrl":null,"url":null,"abstract":"Towards the diving control of an autonomous underwater vehicle (AUV), a robust controller built upon L2 disturbance attenuation method with recursive backstepping technique is addressed. External disturbances are eliminated through L2 controller. A robust controller incorporated with switching control scheme is proposed against the parameter uncertainties with guaranteed stability. Different from conventional parameter adaptive learning method, the decreasing problem of learning precision can be avoided due to the fast varying of uncertain parameters, and parameter switching law can be obtained through the Lyapunov stability theory. The proposed controller yields asymptotical convergence to the given depth for the vehicle. Finally, simulation experiments are employed to illustrate the effectiveness of the proposed control scheme.","PeriodicalId":114901,"journal":{"name":"Proceedings of the 10th World Congress on Intelligent Control and Automation","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Robust diving control of AUV with L2 disturbance attenuation method\",\"authors\":\"Hongjian Wang, Ziyin Chen, X. Bian, Heming Jia\",\"doi\":\"10.1109/WCICA.2012.6358091\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Towards the diving control of an autonomous underwater vehicle (AUV), a robust controller built upon L2 disturbance attenuation method with recursive backstepping technique is addressed. External disturbances are eliminated through L2 controller. A robust controller incorporated with switching control scheme is proposed against the parameter uncertainties with guaranteed stability. Different from conventional parameter adaptive learning method, the decreasing problem of learning precision can be avoided due to the fast varying of uncertain parameters, and parameter switching law can be obtained through the Lyapunov stability theory. The proposed controller yields asymptotical convergence to the given depth for the vehicle. Finally, simulation experiments are employed to illustrate the effectiveness of the proposed control scheme.\",\"PeriodicalId\":114901,\"journal\":{\"name\":\"Proceedings of the 10th World Congress on Intelligent Control and Automation\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-07-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 10th World Congress on Intelligent Control and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WCICA.2012.6358091\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 10th World Congress on Intelligent Control and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCICA.2012.6358091","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Robust diving control of AUV with L2 disturbance attenuation method
Towards the diving control of an autonomous underwater vehicle (AUV), a robust controller built upon L2 disturbance attenuation method with recursive backstepping technique is addressed. External disturbances are eliminated through L2 controller. A robust controller incorporated with switching control scheme is proposed against the parameter uncertainties with guaranteed stability. Different from conventional parameter adaptive learning method, the decreasing problem of learning precision can be avoided due to the fast varying of uncertain parameters, and parameter switching law can be obtained through the Lyapunov stability theory. The proposed controller yields asymptotical convergence to the given depth for the vehicle. Finally, simulation experiments are employed to illustrate the effectiveness of the proposed control scheme.