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Accurate kinematic and stiffness analysis of parallel cable-driven upper limb rehabilitation robot with spherical guide wheel cable-guiding mechanism

Published online by Cambridge University Press:  10 January 2025

Yupeng Zou*
Affiliation:
College of Mechanical and Electrical Engineering, China University of Petroleum (East China), Qingdao, China
Keyu Pan
Affiliation:
College of Mechanical and Electrical Engineering, China University of Petroleum (East China), Qingdao, China
Mengfei Wang
Affiliation:
College of Mechanical and Electrical Engineering, China University of Petroleum (East China), Qingdao, China
Xiaojing Lai
Affiliation:
College of Mechanical and Electrical Engineering, China University of Petroleum (East China), Qingdao, China
Tianyu Lan
Affiliation:
College of Mechanical and Electrical Engineering, China University of Petroleum (East China), Qingdao, China
Zhishen Zhou
Affiliation:
College of Mechanical and Electrical Engineering, China University of Petroleum (East China), Qingdao, China
Changsheng Li
Affiliation:
College of Mechanical and Electrical Engineering, China University of Petroleum (East China), Qingdao, China
*
Corresponding author: Yupeng Zou; Email: zouyupeng@upc.edu.cn
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Abstract

Cable-guiding mechanisms (CGMs) and the stiffness characteristics directly influence the dynamic features of the cable-driven upper limb rehabilitation robot (PCUR), which will affect PCUR’s performance. This paper introduces a novel CGM design. Given the precision and movement stability considerations of the mechanism, an analytical model is developed. Using this model, we analyze the error of the CGM and derive velocity and acceleration mappings from the moving platform to the cables. Continuity of cable trajectory and tension is rigorously demonstrated. Subsequently, a mathematical model for PCUR stiffness is formulated. Utilizing MATLAB/Simscape Multibody, simulation models for the CGM and stiffness characteristics are constructed. The feasibility of the proposed CGM design is validated through simulation and experimentation, while the influence of stiffness characteristics on PCUR motion stability is comprehensively analyzed.

Information

Type
Research Article
Copyright
© The Author(s), 2025. Published by Cambridge University Press
Figure 0

Figure 1. Structure of cable-driven unit.

Figure 1

Figure 2. Structure of the PCUR: (a) Shows the structure of PCUR, and (b) Shows the schematic diagram of PCUR.

Figure 2

Figure 3. Decomposition view of S-CGM.

Figure 3

Figure 4. Forms of rehabilitation training.

Figure 4

Figure 5. S-CGM principle: (a) shows the S-CGM as a whole. (b) gives a detailed description of the S-CGM.

Figure 5

Figure 6. Theoretical model of S-CGM in the ideal case.

Figure 6

Figure 7. Workspace-solving process for PCUR.

Figure 7

Figure 8. PCUR’s workspace.

Figure 8

Figure 9. Stiffness simulation model of PCUR.

Figure 9

Figure 10. Model of a single pulley.

Figure 10

Figure 11. Model of a double pulley.

Figure 11

Figure 12. Model of the S-CGM.

Figure 12

Figure 13. Errors in single/double pulley-based CGM and S-CGM.

Figure 13

Figure 14. Demonstrates the data comparison of MP pose changes caused byKSandKTfor a givenFand increasing$ \boldsymbol{\tau} $.

Figure 14

Table I. Positions of cable-drive unit.

Figure 15

Table II. PCUR’s parameters.

Figure 16

Figure 15. Demonstrates the comparison of the data of MP pose changes caused byKSandKTfor a given$ \boldsymbol{\tau} $, increasingF.

Figure 17

Figure 16. Experiment platform.

Figure 18

Figure 17. Cable trajectories correspond to the S-CGM, where (a) shows the length of the cable, (b) shows the velocity of the cable, and (c) shows the acceleration of the cable.

Figure 19

Figure 18. Cable tension corresponds to the S-CGM.

Figure 20

Figure 19. A kinematic model describing the spreading and retracting motion of the human shoulder joint.

Figure 21

Figure 20. Shoulder spreading and retracting man-robot experiment..

Figure 22

Figure 21. Experimental data of MP running shoulder flexion and extension motion trajectory.

Figure 23

Figure 22. Stiffness experiment show.

Figure 24

Figure 23. Experimental data of fixed-point stiffness.