{"title":"一种康复辅助上肢外骨骼的设计与病人导向控制","authors":"Huu-Toan Tran, Son Manh Tran","doi":"10.61416/ceai.v25i3.8341","DOIUrl":null,"url":null,"abstract":"Inspired by the difficulties behind specification requirements as well as realizing the applicable capacity of upper exoskeleton robots, this paper presents the design and development of an original prototype of Rehabilitation Assistance UPper EXoskeleton (RAUPEX). The exoskeleton is designed through the analysis of human's upper limb biomechanics and dynamics. Based on the requirements of human joint power, the solutions of mechanism and actuator for the exoskeleton are drawn. During development of the exoskeleton, a basic control hardware is built to ensure real-time control performance besides a custom-built control panel for users. A patient-oriented control strategy allows RAUPEX to assist patients with various disability level in rehabilitation. The robot's applicable efficiency has been evaluated through rehabilitation training tests on healthy persons as quasi-patients via fundamental criteria in the exoskeleton development. Normalized square sum of angular operator-exoskeleton errors that is $(25.3\\pm2.45)\\times10^{-3}$ for active control and is $(5.89\\pm0.42)\\times10^{-3}$ for passive control. Moreover, the resulting operator-exoskeleton interaction force which is maximum of $7.75$ N at upper arm and $4.32$ N at lower arm enables RAUPEX to accurately assist rehabilitation exercises without discomfort. Over $87\\%$ of experimental participants claimed to feel comfortable which proves the developed exoskeleton has the potential to increase efficiency and adaptation to users during rehabilitation procedure. DOI: 10.61416/ceai.v25i3.8341","PeriodicalId":50616,"journal":{"name":"Control Engineering and Applied Informatics","volume":"62 1","pages":"0"},"PeriodicalIF":0.4000,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design and Patient-Oriented Control of A Rehabilitation Assistance Upper Exoskeleton\",\"authors\":\"Huu-Toan Tran, Son Manh Tran\",\"doi\":\"10.61416/ceai.v25i3.8341\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Inspired by the difficulties behind specification requirements as well as realizing the applicable capacity of upper exoskeleton robots, this paper presents the design and development of an original prototype of Rehabilitation Assistance UPper EXoskeleton (RAUPEX). The exoskeleton is designed through the analysis of human's upper limb biomechanics and dynamics. Based on the requirements of human joint power, the solutions of mechanism and actuator for the exoskeleton are drawn. During development of the exoskeleton, a basic control hardware is built to ensure real-time control performance besides a custom-built control panel for users. A patient-oriented control strategy allows RAUPEX to assist patients with various disability level in rehabilitation. The robot's applicable efficiency has been evaluated through rehabilitation training tests on healthy persons as quasi-patients via fundamental criteria in the exoskeleton development. Normalized square sum of angular operator-exoskeleton errors that is $(25.3\\\\pm2.45)\\\\times10^{-3}$ for active control and is $(5.89\\\\pm0.42)\\\\times10^{-3}$ for passive control. Moreover, the resulting operator-exoskeleton interaction force which is maximum of $7.75$ N at upper arm and $4.32$ N at lower arm enables RAUPEX to accurately assist rehabilitation exercises without discomfort. Over $87\\\\%$ of experimental participants claimed to feel comfortable which proves the developed exoskeleton has the potential to increase efficiency and adaptation to users during rehabilitation procedure. 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Design and Patient-Oriented Control of A Rehabilitation Assistance Upper Exoskeleton
Inspired by the difficulties behind specification requirements as well as realizing the applicable capacity of upper exoskeleton robots, this paper presents the design and development of an original prototype of Rehabilitation Assistance UPper EXoskeleton (RAUPEX). The exoskeleton is designed through the analysis of human's upper limb biomechanics and dynamics. Based on the requirements of human joint power, the solutions of mechanism and actuator for the exoskeleton are drawn. During development of the exoskeleton, a basic control hardware is built to ensure real-time control performance besides a custom-built control panel for users. A patient-oriented control strategy allows RAUPEX to assist patients with various disability level in rehabilitation. The robot's applicable efficiency has been evaluated through rehabilitation training tests on healthy persons as quasi-patients via fundamental criteria in the exoskeleton development. Normalized square sum of angular operator-exoskeleton errors that is $(25.3\pm2.45)\times10^{-3}$ for active control and is $(5.89\pm0.42)\times10^{-3}$ for passive control. Moreover, the resulting operator-exoskeleton interaction force which is maximum of $7.75$ N at upper arm and $4.32$ N at lower arm enables RAUPEX to accurately assist rehabilitation exercises without discomfort. Over $87\%$ of experimental participants claimed to feel comfortable which proves the developed exoskeleton has the potential to increase efficiency and adaptation to users during rehabilitation procedure. DOI: 10.61416/ceai.v25i3.8341
期刊介绍:
The Journal is promoting theoretical and practical results in a large research field of Control Engineering and Technical Informatics. It has been published since 1999 under the Romanian Society of Control Engineering and Technical Informatics coordination, in its quality of IFAC Romanian National Member Organization and it appears quarterly.
Each issue has up to 12 papers from various areas such as control theory, computer engineering, and applied informatics. Basic topics included in our Journal since 1999 have been time-invariant control systems, including robustness, stability, time delay aspects; advanced control strategies, including adaptive, predictive, nonlinear, intelligent, multi-model techniques; intelligent control techniques such as fuzzy, neural, genetic algorithms, and expert systems; and discrete event and hybrid systems, networks and embedded systems. Application areas covered have been environmental engineering, power systems, biomedical engineering, industrial and mobile robotics, and manufacturing.