Toward Patients' Motion Intention Recognition: Dynamics Modeling and Identification of iLeg-An LLRR Under Motion Constraints
文献类型：期刊论文
| 作者 | Wang, Weiqun ; Hou, Zeng-Guang; Cheng, Long; Tong, Lina; Peng, Liang; Peng, Long; Tan, Min
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| 刊名 | IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
 |
| 出版日期 | 2016-07-01 |
| 卷号 | 46期号:7页码:980-992 |
| 关键词 | Friction model lower limb rehabilitation robot (LLRR) motion intention recognition optimization of exciting trajectories recursive optimization |
| 英文摘要 | In order to implement model-based recognition of human motion intention, dynamics modeling and identification of a lower limb rehabilitation robot named iLeg is investigated. Due to the relatively strong motion constraints, the traditional identification methods become insufficient for iLeg in three aspects: 1) the coupling factors among joints have not been considered in the traditional joint friction models, which makes the structural error and the torque estimation errors relatively large; 2) because of the small and complicated feasible region caused by the motion constraints, the traditional initialization strategy, for searching the valid initial solutions of the optimization problem for the exciting trajectories, becomes very inefficient; and 3) the condition number of the observation matrix, calculated from the preliminary dynamic model and the associated optimized exciting trajectory, is too large for the identification, and, however, further reduction of the condition number has not been considered in the literature. Therefore, corresponding contributions are presented to overcome the limitation. First, the coupling factors among joints are considered in the joint friction model by using the Palmgren empirical formulation and a polynomial fitting method. Then, an indirectly generating strategy is designed, by which the valid initial solutions of the optimization problem can be found with good efficiency. Moreover, a recursive optimization method based on the optimization of the dynamic model and the exciting trajectories, is proposed to further reduce the condition number. Finally, the performance of the proposed methods is demonstrated by several experiments. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Automation & Control Systems ; Computer Science, Cybernetics |
| 研究领域[WOS] | Automation & Control Systems ; Computer Science |
| 关键词[WOS] | BASE INERTIAL PARAMETERS ; ROBOTS ; FRICTION ; COMPENSATION ; TRAJECTORIES ; MANIPULATORS ; EXOSKELETON ; LIMB |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000379757300011 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/12155]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队 |
| 作者单位 | Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Weiqun,Hou, Zeng-Guang,Cheng, Long,et al. Toward Patients' Motion Intention Recognition: Dynamics Modeling and Identification of iLeg-An LLRR Under Motion Constraints[J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,2016,46(7):980-992. |
| APA | Wang, Weiqun.,Hou, Zeng-Guang.,Cheng, Long.,Tong, Lina.,Peng, Liang.,...&Tan, Min.(2016).Toward Patients' Motion Intention Recognition: Dynamics Modeling and Identification of iLeg-An LLRR Under Motion Constraints.IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,46(7),980-992. |
| MLA | Wang, Weiqun,et al."Toward Patients' Motion Intention Recognition: Dynamics Modeling and Identification of iLeg-An LLRR Under Motion Constraints".IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 46.7(2016):980-992. |
入库方式： OAI收割
来源：自动化研究所
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