{"title":"移动行走双足机器人鲁棒控制频率分析","authors":"A. Bagheri, Saber Ghasembeigi, S. Basiri","doi":"10.1109/CSPA.2009.5069212","DOIUrl":null,"url":null,"abstract":"Dynamic equations of the biped robots are easily obtained by the Lagrangian method. Because of terrible nonlinearity of these dynamic equations, the actuator's dynamic is employed to linearize these equations. By this way, the heavy nonlinear equations are replaced with a second order linear system which their coefficients are achievable by the various identification methods. Here Least Square method is utilized to determine these second order transfer function's coefficients. Employing a set of linear transfer function for each joint and also considering unstructured uncertainty, an H∞ controller is designed and the Robust Stability and Robust Performance criteria are to be handeled with the μ analysis theory.","PeriodicalId":338469,"journal":{"name":"2009 5th International Colloquium on Signal Processing & Its Applications","volume":"153 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Robust control frequency analysis of a moving walking bipedal robot\",\"authors\":\"A. Bagheri, Saber Ghasembeigi, S. Basiri\",\"doi\":\"10.1109/CSPA.2009.5069212\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Dynamic equations of the biped robots are easily obtained by the Lagrangian method. Because of terrible nonlinearity of these dynamic equations, the actuator's dynamic is employed to linearize these equations. By this way, the heavy nonlinear equations are replaced with a second order linear system which their coefficients are achievable by the various identification methods. Here Least Square method is utilized to determine these second order transfer function's coefficients. Employing a set of linear transfer function for each joint and also considering unstructured uncertainty, an H∞ controller is designed and the Robust Stability and Robust Performance criteria are to be handeled with the μ analysis theory.\",\"PeriodicalId\":338469,\"journal\":{\"name\":\"2009 5th International Colloquium on Signal Processing & Its Applications\",\"volume\":\"153 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-03-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 5th International Colloquium on Signal Processing & Its Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSPA.2009.5069212\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 5th International Colloquium on Signal Processing & Its Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSPA.2009.5069212","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Robust control frequency analysis of a moving walking bipedal robot
Dynamic equations of the biped robots are easily obtained by the Lagrangian method. Because of terrible nonlinearity of these dynamic equations, the actuator's dynamic is employed to linearize these equations. By this way, the heavy nonlinear equations are replaced with a second order linear system which their coefficients are achievable by the various identification methods. Here Least Square method is utilized to determine these second order transfer function's coefficients. Employing a set of linear transfer function for each joint and also considering unstructured uncertainty, an H∞ controller is designed and the Robust Stability and Robust Performance criteria are to be handeled with the μ analysis theory.