Human Balancing on a Log: A Switched Multi-Layer Controller

Fuente: arXiv
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Autori principali: Zhao, Jiayi, Yang, Mo, Li, Jing Shuang
Natura: Preprint
Pubblicazione: 2024
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author Zhao, Jiayi
Yang, Mo
Li, Jing Shuang
author_facet Zhao, Jiayi
Yang, Mo
Li, Jing Shuang
contents We study the task of balancing a human on a log that is fixed in place. Balancing on a log is substantially more challenging than balancing on a flat surface due to increased instability -- nonetheless, we are able to balance by composing simple (e.g., PID, LQR) controllers in a bio-inspired switched multi-layer configuration. The controller consists of an upper-layer LQR planner (akin to the central nervous system) that coordinates ankle and hip torques, and lower-layer PID trackers (akin to local motor units) that follow this plan subject to nonlinear dynamics. The controller switches between three operational modes depending on the state of the human. The efficacy of the controller is verified in simulation, where our controller is able to stabilize the human for a variety of initial conditions and disturbances. We also introduce a controller that outputs muscle activations to perform the same balancing task.
format Preprint
id arxiv_https___arxiv_org_abs_2410_02957
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Human Balancing on a Log: A Switched Multi-Layer Controller
Zhao, Jiayi
Yang, Mo
Li, Jing Shuang
Systems and Control
We study the task of balancing a human on a log that is fixed in place. Balancing on a log is substantially more challenging than balancing on a flat surface due to increased instability -- nonetheless, we are able to balance by composing simple (e.g., PID, LQR) controllers in a bio-inspired switched multi-layer configuration. The controller consists of an upper-layer LQR planner (akin to the central nervous system) that coordinates ankle and hip torques, and lower-layer PID trackers (akin to local motor units) that follow this plan subject to nonlinear dynamics. The controller switches between three operational modes depending on the state of the human. The efficacy of the controller is verified in simulation, where our controller is able to stabilize the human for a variety of initial conditions and disturbances. We also introduce a controller that outputs muscle activations to perform the same balancing task.
title Human Balancing on a Log: A Switched Multi-Layer Controller
topic Systems and Control
url https://arxiv.org/abs/2410.02957