{"title":"非线性解耦控制中机械臂动力学模型的简化","authors":"J. Jeon, C.s.g. Lee","doi":"10.1109/CDC.1988.194379","DOIUrl":null,"url":null,"abstract":"The authors develop simplified manipulator dynamic models which satisfy the desired steady-state error specification in the joint-variable space or the Cartesian space under a nonlinear decoupled controller. The formulas which relate the tracking errors of joint variables in the joint-variable space or the manipulator hand in the Cartesian space to the dynamic modeling errors are derived and used to obtain the maximum error tolerance for each dynamic coefficient of the equations of motion. Then each simplified dynamic coefficient of the equations of motion can be expressed as a linear combination of the product terms of sinusoidal and polynomial basis functions. To illustrate the approach, a computer simulation was carried out to obtain two simplified dynamic models of a Stanford robot arm which satisfy the above condition.<<ETX>>","PeriodicalId":113534,"journal":{"name":"Proceedings of the 27th IEEE Conference on Decision and Control","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Simplification of manipulator dynamic model for nonlinear decoupled control\",\"authors\":\"J. Jeon, C.s.g. Lee\",\"doi\":\"10.1109/CDC.1988.194379\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors develop simplified manipulator dynamic models which satisfy the desired steady-state error specification in the joint-variable space or the Cartesian space under a nonlinear decoupled controller. The formulas which relate the tracking errors of joint variables in the joint-variable space or the manipulator hand in the Cartesian space to the dynamic modeling errors are derived and used to obtain the maximum error tolerance for each dynamic coefficient of the equations of motion. Then each simplified dynamic coefficient of the equations of motion can be expressed as a linear combination of the product terms of sinusoidal and polynomial basis functions. To illustrate the approach, a computer simulation was carried out to obtain two simplified dynamic models of a Stanford robot arm which satisfy the above condition.<<ETX>>\",\"PeriodicalId\":113534,\"journal\":{\"name\":\"Proceedings of the 27th IEEE Conference on Decision and Control\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-12-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 27th IEEE Conference on Decision and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CDC.1988.194379\",\"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 27th IEEE Conference on Decision and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDC.1988.194379","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Simplification of manipulator dynamic model for nonlinear decoupled control
The authors develop simplified manipulator dynamic models which satisfy the desired steady-state error specification in the joint-variable space or the Cartesian space under a nonlinear decoupled controller. The formulas which relate the tracking errors of joint variables in the joint-variable space or the manipulator hand in the Cartesian space to the dynamic modeling errors are derived and used to obtain the maximum error tolerance for each dynamic coefficient of the equations of motion. Then each simplified dynamic coefficient of the equations of motion can be expressed as a linear combination of the product terms of sinusoidal and polynomial basis functions. To illustrate the approach, a computer simulation was carried out to obtain two simplified dynamic models of a Stanford robot arm which satisfy the above condition.<>