Adaptive Trajectory Tracking Control of a Parallel Ankle Rehabilitation Robot With Joint-Space Force Distribution

IEEE Access

Allan J. Veale¹  Mingming Zhang²  Andrew McDaid³  Yuxin Peng⁴  Sheng Quan Xie⁵ 

[1] Department of Biomechanical Engineering, University of Twente, Enschede, The Netherlands;Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China;Department of Mechanical Engineering, The University of Auckland, Auckland, New Zealand;Department of Physical Education and Sports Science, Zhejiang University, Hangzhou, China;School of Electronic and Electrical Engineering, University of Leeds, Leeds, U.K.;

关键词: Parallel ankle robot;    movement intention;    cascade control;    trajectory adaptation;    force gdistribution;   

DOI  :  10.1109/ACCESS.2019.2925182

来源: DOAJ

【 摘 要 】

This paper proposes an adaptive trajectory tracking control strategy implemented on a parallel ankle rehabilitation robot with joint-space force distribution. This device is redundantly actuated by four pneumatic muscles (PMs) with three rotational degrees of freedom. Accurate trajectory tracking is achieved through a cascade controller with the position feedback in task space and force feedback in joint space, which enhances training safety by controlling each PM to be in tension in an appropriate level. At a high level, an adaptive algorithm is proposed to enable movement intention-directed trajectory adaptation. This can further help to improve training safety and encourage human-robot engagement. The pilot tests were conducted with an injured human ankle. The statistical data show that normalized root mean square deviation (NRMSD) values of trajectory tracking are all less than 2.3% and the PM force tracking being always controlled in tension, demonstrating its potential in assisting ankle therapy.

【 授权许可】

Unknown