{"title":"基于分解的动力膝关节和踝关节经股假体控制","authors":"H. A. Varol, M. Goldfarb","doi":"10.1109/ICORR.2007.4428514","DOIUrl":null,"url":null,"abstract":"This paper describes an active passive torque decomposition procedure for use in controlling a fully powered transfemoral prosthesis. The active and passive parts of the joint torques are extracted by solving a constrained least squares optimization problem. Rather than utilize \"echo control\" as proposed by others, the proposed approach generates the torque reference of joints by combining the active part, which is a function of the force and moment vector of the interaction between user and prosthesis and the passive part, which has a nonlinear spring-dashpot behavior. The ability of the approach to reconstruct the required joint torques is demonstrated in simulation on measured biomechanics data.","PeriodicalId":197465,"journal":{"name":"2007 IEEE 10th International Conference on Rehabilitation Robotics","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"25","resultStr":"{\"title\":\"Decomposition-Based Control for a Powered Knee and Ankle Transfemoral Prosthesis\",\"authors\":\"H. A. Varol, M. Goldfarb\",\"doi\":\"10.1109/ICORR.2007.4428514\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes an active passive torque decomposition procedure for use in controlling a fully powered transfemoral prosthesis. The active and passive parts of the joint torques are extracted by solving a constrained least squares optimization problem. Rather than utilize \\\"echo control\\\" as proposed by others, the proposed approach generates the torque reference of joints by combining the active part, which is a function of the force and moment vector of the interaction between user and prosthesis and the passive part, which has a nonlinear spring-dashpot behavior. The ability of the approach to reconstruct the required joint torques is demonstrated in simulation on measured biomechanics data.\",\"PeriodicalId\":197465,\"journal\":{\"name\":\"2007 IEEE 10th International Conference on Rehabilitation Robotics\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-06-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"25\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE 10th International Conference on Rehabilitation Robotics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICORR.2007.4428514\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE 10th International Conference on Rehabilitation Robotics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICORR.2007.4428514","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Decomposition-Based Control for a Powered Knee and Ankle Transfemoral Prosthesis
This paper describes an active passive torque decomposition procedure for use in controlling a fully powered transfemoral prosthesis. The active and passive parts of the joint torques are extracted by solving a constrained least squares optimization problem. Rather than utilize "echo control" as proposed by others, the proposed approach generates the torque reference of joints by combining the active part, which is a function of the force and moment vector of the interaction between user and prosthesis and the passive part, which has a nonlinear spring-dashpot behavior. The ability of the approach to reconstruct the required joint torques is demonstrated in simulation on measured biomechanics data.