Development of an Active Cable-Driven, Force-Controlled Robotic System for Walking Rehabilitation

被引:5
|
作者
Fang, Juan [1 ]
Haldimann, Michael [1 ]
Marchal-Crespo, Laura [2 ,3 ]
Hunt, Kenneth J. [1 ]
机构
[1] Bern Univ Appl Sci, Div Mech Engn, Dept Engn & Informat Technol, Inst Rehabil & Performance Technol, Burgdorf, Switzerland
[2] Delft Univ Technol, Dept Cognit Robot, Delft, Netherlands
[3] Univ Bern, ARTORG Ctr Biomed Engn Res, Motor Learning & Neurorehabil Lab, Bern, Switzerland
关键词
cable-driven robots; force control; dynamic modeling; frequency-domain analysis; velocity compensation; rehabilitation robotic systems;
D O I
10.3389/fnbot.2021.651177
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In a parallel development to traditional rigid rehabilitation robotic systems, cable-driven systems are becoming popular. The robowalk expander product uses passive elastic bands in the training of the lower limbs. However, a well-controlled assistance or resistance is desirable for effective walking relearning and muscle training. To achieve well-controlled force during locomotion training with the robowalk expander, we replaced the elastic bands with actuator-driven cables and implemented force control algorithms for regulation of cable tensions. The aim of this work was to develop an active cable-driven robotic system, and to evaluate force control strategies for walking rehabilitation using frequency-domain analysis. The system parameters were determined through experiment-assisted simulation. Then force-feedback lead controllers were developed for static force tracking, and velocity-feedforward lead compensators were implemented to reduce velocity-related disturbances during walking. The technical evaluation of the active cable-driven robotic system showed that force-feedback lead controllers produced satisfactory force tracking in the static tests with a mean error of 5.5%, but in the dynamic tests, a mean error of 13.2% was observed. Further implementation of the velocity-feedforward lead compensators reduced the force tracking error to 9% in dynamic tests. With the combined control algorithms, the active cable-driven robotic system produced constant force within the four cables during walking on the treadmill, with a mean force-tracking error of 10.3%. This study demonstrates that the force control algorithms are technically feasible. The active cable-driven, force-controlled robotic system has the potential to produce user-defined assistance or resistance in rehabilitation and fitness training.
引用
收藏
页数:16
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