同心的
计算机科学
空间构型
控制理论(社会学)
几何学
数学
人工智能
数学分析
分布(数学)
控制(管理)
作者
Zonggao Mu,Hao Lv,Zhonghui Wei,Shun Zhao,Ziran Wang,Yuxia Li
标识
DOI:10.1109/tsmc.2024.3517533
摘要
Concentric cable-driven manipulators have the flexibility and typical advantages of working in confined environments. However, its configuration optimization in confined three-dimensional (3-D) space is very complicated due to infinite configurations of inverse kinematics solutions. This article proposes a spatial triarc planning method in response to the issue mentioned above. A reasonable triarc configuration can be optimized by this method based on six input parameters, i.e., the proximal control point and tangent vector, distal control point and tangent vector, and two centers of curvature circles in both two-dimensional (2-D) and 3-D space. This method has the following three advantages. First, the task configuration of a spatial triarc can be predicted by presetting the relationship between the proximal and distal tangent vectors. Furthermore, the configuration of the middle and inner concentric cable-driven mechanism can be controlled by adjusting the direction of the distal tangent vector. Additionally, the proportion of each concentric cable-driven mechanism can be controlled by changing centers of curvature circles. Finally, the proposed spatial triarc planning method is verified by simulations and experiments. Results show that the maximum errors of the C-shaped spatial triarc and the S-shaped spatial triarc experiments are 1.68 mm and 1.36 mm, respectively.
科研通智能强力驱动
Strongly Powered by AbleSci AI