Cardioid oscillator-based pattern generator for imitating the time-ratio-asymmetrical behavior of the lower limb exoskeleton

Front Neurorobot. 2024 Mar 27:18:1379906. doi: 10.3389/fnbot.2024.1379906. eCollection 2024.

Abstract

Introduction: Periodicity, self-excitation, and time ratio asymmetry are the fundamental characteristics of the human gait. In order to imitate these mentioned characteristics, a pattern generator with four degrees of freedom is proposed based on cardioid oscillators developed by the authors.

Method: The proposed pattern generator is composed of four coupled cardioid oscillators, which are self-excited and have asymmetric time ratios. These oscillators are connected with other oscillators through coupled factors. The dynamic behaviors of the proposed oscillators, such as phase locking, time ratio, and self-excitation, are analyzed via simulations by employing the harmonic balance method. Moreover, for comparison, the simulated trajectories are compared with the natural joint trajectories measured in experiments.

Results and discussion: Simulation and experimental results show that the behaviors of the proposed pattern generator are similar to those of the natural lower limb. It means the simulated trajectories from the generator are self-excited without any additional inputs and have asymmetric time ratios. Their phases are locked with others. Moreover, the proposed pattern generator can be applied as the reference model for the lower limb exoskeleton controlling algorithm to produce self-adjusted reference trajectories.

Keywords: asymmetric time ratio; cardioid oscillators; invariant set; lower limb exoskeleton; pattern generator.

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work has been supported by Scientific and Technological Research Program of Chongqing Science and Technology Bureau (Project No. cstc2020jcyj-msxm2322), National Natural Science Foundation of China (52175215), and Chongqing Talent Program Project (cstc2021ycjh-bgzxm0279), and Scientific and Technological Research Program of Chongqing University of Arts and Sciences (Project No. R2018JD03).