TY - GEN
T1 - A Particle Swarm Optimal Control Method for a Direct-Drive Electro-Hydraulic Ankle-Foot Prosthesis
AU - Yulong, Xiong
AU - Bowen, Li
AU - Qitao, Huang
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Existing powered ankle-foot prostheses (PAFP)have relatively low power density ratios and poor performance in practical applications. Direct-drive electro-hydraulic technology features high power density, a closed structure, and small volume. This paper presents a PAFP system based on direct-drive electro-hydraulic technology. Instead of the common practice of oil replenishment through replenishment valves, the system installs accumulators on both sides of the hydraulic circuit. This design enables the recovery of energy and amplification of power, while reducing the complexity of the hydraulic system and manufacturing costs of the PAFP system. Based on the establishment of a simulation model for the position control system of a PAFP, control parameters were adjusted and optimized through a PID controller and a Particle Swarm Optimization algorithm, thus achieving precise reproduction of the input angle control commands. Simulation analysis of the prosthetic power verified that the designed PAFP exhibits enhanced performance in terms of energy output.
AB - Existing powered ankle-foot prostheses (PAFP)have relatively low power density ratios and poor performance in practical applications. Direct-drive electro-hydraulic technology features high power density, a closed structure, and small volume. This paper presents a PAFP system based on direct-drive electro-hydraulic technology. Instead of the common practice of oil replenishment through replenishment valves, the system installs accumulators on both sides of the hydraulic circuit. This design enables the recovery of energy and amplification of power, while reducing the complexity of the hydraulic system and manufacturing costs of the PAFP system. Based on the establishment of a simulation model for the position control system of a PAFP, control parameters were adjusted and optimized through a PID controller and a Particle Swarm Optimization algorithm, thus achieving precise reproduction of the input angle control commands. Simulation analysis of the prosthetic power verified that the designed PAFP exhibits enhanced performance in terms of energy output.
UR - https://www.scopus.com/pages/publications/85207088590
U2 - 10.1109/WRRC62201.2024.10696401
DO - 10.1109/WRRC62201.2024.10696401
M3 - 会议稿件
AN - SCOPUS:85207088590
T3 - 2024 International Convention on Rehabilitation Engineering and Assistive Technology and World Rehabilitation Robot Convention, WRRC 2024 - Proceedings
BT - 2024 International Convention on Rehabilitation Engineering and Assistive Technology and World Rehabilitation Robot Convention, WRRC 2024 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 International Convention on Rehabilitation Engineering and Assistive Technology and World Rehabilitation Robot Convention, i-CREATE and WRRC 2024
Y2 - 23 August 2024 through 26 August 2024
ER -