{"title":"机械机械臂的线性鲁棒控制","authors":"W.-s. Lu","doi":"10.1109/ISIC.1988.65470","DOIUrl":null,"url":null,"abstract":"A linear feedback control scheme for trajectory tracking is presented. It is shown to be robust against model uncertainties. The scheme is based on an eigen-analysis of the inertia matrix of the mechanical manipulator considered and a least-squares-type approximation of the Coriolis, centrifugal, and gravity terms in the manipulator's dynamics. The eigen-analysis and least-squares approximation lead to a simple yet reasonable model which in turn defines a structure of the constant feedback control. To determine the parameters of this controller, an analysis of the tracking-error dynamics is carried out using a Lyapunov approach. It turns out that, by properly choosing a set of feedback gains, the tracking error can be kept to a prescribed range during the task in the presence of the gravity effect and model uncertainties.<<ETX>>","PeriodicalId":155616,"journal":{"name":"Proceedings IEEE International Symposium on Intelligent Control 1988","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Linear robust control of mechanical manipulators\",\"authors\":\"W.-s. Lu\",\"doi\":\"10.1109/ISIC.1988.65470\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A linear feedback control scheme for trajectory tracking is presented. It is shown to be robust against model uncertainties. The scheme is based on an eigen-analysis of the inertia matrix of the mechanical manipulator considered and a least-squares-type approximation of the Coriolis, centrifugal, and gravity terms in the manipulator's dynamics. The eigen-analysis and least-squares approximation lead to a simple yet reasonable model which in turn defines a structure of the constant feedback control. To determine the parameters of this controller, an analysis of the tracking-error dynamics is carried out using a Lyapunov approach. It turns out that, by properly choosing a set of feedback gains, the tracking error can be kept to a prescribed range during the task in the presence of the gravity effect and model uncertainties.<<ETX>>\",\"PeriodicalId\":155616,\"journal\":{\"name\":\"Proceedings IEEE International Symposium on Intelligent Control 1988\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-08-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings IEEE International Symposium on Intelligent Control 1988\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIC.1988.65470\",\"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 IEEE International Symposium on Intelligent Control 1988","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIC.1988.65470","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A linear feedback control scheme for trajectory tracking is presented. It is shown to be robust against model uncertainties. The scheme is based on an eigen-analysis of the inertia matrix of the mechanical manipulator considered and a least-squares-type approximation of the Coriolis, centrifugal, and gravity terms in the manipulator's dynamics. The eigen-analysis and least-squares approximation lead to a simple yet reasonable model which in turn defines a structure of the constant feedback control. To determine the parameters of this controller, an analysis of the tracking-error dynamics is carried out using a Lyapunov approach. It turns out that, by properly choosing a set of feedback gains, the tracking error can be kept to a prescribed range during the task in the presence of the gravity effect and model uncertainties.<>