Mechanical Sciences (Oct 2023)

Motion planning and control strategy of a cable-driven body weight support gait training robot

  • T. Qin,
  • T. Qin,
  • Q. Wang,
  • Q. Wang,
  • W. Su,
  • W. Su,
  • C. Wei,
  • C. Wei,
  • Y. Zhang,
  • Y. Zhang,
  • J. Zhang

DOI
https://doi.org/10.5194/ms-14-413-2023
Journal volume & issue
Vol. 14
pp. 413 – 427

Abstract

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In this paper, a cable-driven body weight support gait training robot (C-BWSGTR) that provides patients with partial body weight support as well as a kind of stable gait training driving force was designed; this device enabled those patients to walk again. Firstly, the overall configuration of the C-BWSGTR was determined, and the structural composition and working principle of the robot were established. Secondly, the vector algebra method was applied to carry out the kinematic analysis and establish the mathematical model of the C-BWSGTR. The displacement of each cable during the patient gait training was also calculated. Thirdly, the motion planning of the C-BWSGTR was carried out in stages, using the time–phase distribution relationship based on an S-shaped speed curve. Meanwhile, the displacement, speed, and acceleration of each cable during the patient gait training were calculated and corresponding change curves were generated. Finally, a position servo composite control strategy for the C-BWSGTR was designed by analyzing the robot's dynamic characteristics of the forward channel transfer function. The simulation analysis and prototype experiment in this paper verified that the designed composite position servo control strategy can meet the requirements of the system with respect to stability and a fast response of the system to the loading command.