Collaborative Control of Robot Joints With PAM-Motor Dual-Source Coupled Actuation
Year: 2025
Type: article
Abstract: Robotic joints frequently encounter the difficulty of concurrently attaining a lightweight design, compliance, and secure human-robot connection, all while preserving high precision and substantial driving torque. This study enhances a previously proposed PAM-Motor dual-source coupled collaborative actuation joint structure by constructing a nonlinear dynamic model and a backstepping control approach to augment motion precision and dependability. To address the pronounced nonlinear hysteresis and restricted control precision characteristic of pneumatic artificial muscles (PAMs), a collaborative PAM-Motor joint architecture is examined, and a coupled dynamic model is developed. A backstepping control approach is devised to attain accurate and highly dependable joint motion control. The simulation findings indicate that the proposed control method markedly improves the load-bearing capacity, control accuracy, and dynamic responsiveness of the previously built robotic joint. This study establishes a strong basis for subsequent experimental validation and the formulation of resilient and adaptive control techniques.
Source: IEEE Access
Authors: Huilan Li, Xiaolan Yu, Xiangyang Xu
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,075
Award: G2825638328
OpenAlex ID: W4417469885
