Precision force control of an underactuated stance leg exoskeleton for human performance augmentation

• Published in: Proceedings of the Institution of Mechanical Engineers. Part I, Journal of systems and control engineering Journal of systems and control engineering, 2022-03, Vol.236 (3), p.553-566
• Main Authors: Chen, Shan, Han, Tenghui, Dong, Fangfang, Lu, Lei, Liu, Haijun, Tian, Xiaoqing, Han, Jiang
• Format: Article
• Language: English
• Subjects: Adaptive algorithms; Adaptive control; Cartesian coordinates; Control algorithms; Control methods; Control systems design; Control theory; Controllers; Degrees of freedom; Disturbances; Energy consumption; Exoskeletons; Human performance; Mechanical engineering; Robust control
• ISSN: 0959-6518; 2041-3041
• DOI: 10.1177/09596518211040594

Lower limb exoskeleton which augments the human performance is a wearable human–machine integrated system used to assist people carrying heavy loads. Recently, underactuated lower limb exoskeleton systems with some passive joints become more and more attractive due to the advantages of smaller weight, lower system energy consumption and lower cost. However, because of the less of control inputs, the existed control methods of fully actuated exoskeletons cannot be extended to underactuated systems, which makes the robust controller design of underactuated lower limb exoskeletons becomes more challenged. This article focuses on the high-performance human–machine interaction force control design of underactuated lower limb exoskeletons with passive ankle joint. In order to solve the reduction of control inputs, the holonomic constraint from the wearer is considered, which help transform the dynamics of 3-degree-of-freedom underactuated exoskeleton in joint space into a 2-degree-of-freedom fully actuated system in Cartesian space. A two-level interaction force controller using adaptive robust control algorithm is proposed to effectively address the negative effect of various model uncertainties and external disturbances. In order to facilitate the control parameter selection, a gain tuning method is also presented. Comparative simulations are carried out, which indicate that the proposed two-level interaction force controller achieves smaller interaction force and better robust performance to various modeling errors and disturbances.