Syed Zeeshan Haider, Kunwar Faraz Ahmed Khan, A. Awan, Muwahida Liaquat
{"title":"航天飞行器系统的变鲁棒控制设计","authors":"Syed Zeeshan Haider, Kunwar Faraz Ahmed Khan, A. Awan, Muwahida Liaquat","doi":"10.1109/ICCAR.2015.7166011","DOIUrl":null,"url":null,"abstract":"A robust control is developed for the system of aerospace vehicle via variable robustness control (VRC) algorithm. Aerospace vehicle dynamics contain uncertainties due to cross coupling between longitudinal and lateral dynamics. The proposed scheme makes the system of aerospace vehicle impervious of uncertainties ensuring high performance. The variable robustness control technique is based upon scenario approach of robust control design which gives flexibility of modulating robustness in control design. Scenario approach is a probabilistic approach in which cost function can be guaranteed with a certain probability. The effectiveness of proposed control design is established in presence of unknown non-linear dynamics. VRC uses convex optimization of constraints formulated in the form of linear matrix inequalities. The performance of proposed technique is tested in comparison with H∞ control design technique.","PeriodicalId":422587,"journal":{"name":"2015 International Conference on Control, Automation and Robotics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Variable robustness control design for system of aerospace vehicle\",\"authors\":\"Syed Zeeshan Haider, Kunwar Faraz Ahmed Khan, A. Awan, Muwahida Liaquat\",\"doi\":\"10.1109/ICCAR.2015.7166011\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A robust control is developed for the system of aerospace vehicle via variable robustness control (VRC) algorithm. Aerospace vehicle dynamics contain uncertainties due to cross coupling between longitudinal and lateral dynamics. The proposed scheme makes the system of aerospace vehicle impervious of uncertainties ensuring high performance. The variable robustness control technique is based upon scenario approach of robust control design which gives flexibility of modulating robustness in control design. Scenario approach is a probabilistic approach in which cost function can be guaranteed with a certain probability. The effectiveness of proposed control design is established in presence of unknown non-linear dynamics. VRC uses convex optimization of constraints formulated in the form of linear matrix inequalities. The performance of proposed technique is tested in comparison with H∞ control design technique.\",\"PeriodicalId\":422587,\"journal\":{\"name\":\"2015 International Conference on Control, Automation and Robotics\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-05-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Control, Automation and Robotics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCAR.2015.7166011\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Control, Automation and Robotics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAR.2015.7166011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Variable robustness control design for system of aerospace vehicle
A robust control is developed for the system of aerospace vehicle via variable robustness control (VRC) algorithm. Aerospace vehicle dynamics contain uncertainties due to cross coupling between longitudinal and lateral dynamics. The proposed scheme makes the system of aerospace vehicle impervious of uncertainties ensuring high performance. The variable robustness control technique is based upon scenario approach of robust control design which gives flexibility of modulating robustness in control design. Scenario approach is a probabilistic approach in which cost function can be guaranteed with a certain probability. The effectiveness of proposed control design is established in presence of unknown non-linear dynamics. VRC uses convex optimization of constraints formulated in the form of linear matrix inequalities. The performance of proposed technique is tested in comparison with H∞ control design technique.