@inproceedings{350f5a5b2b53453b8c4916dcc0ebffc1,
title = "Fuzzy PID control for passive lower extremity exoskeleton in swing phase",
abstract = "In order to achieve synchronous walking between man and machine, in swing phase, fast and accurate response to human lower limb movement is the key of the control. This paper presents a fuzzy PID controller which uses fuzzy logic tuning PID controller parameters real-time. This paper established two degrees of freedom lower limb exoskeleton swing phase dynamics model and used ADAMS and Simulink co-simulation to verify the control method. The results of the simulation show that: fuzzy PID control exhibits a good transient and steady-state performance, and significantly reduces the man-machine interfacial force to achieve a human-machine synergy movement.",
keywords = "Lower extremity exoskeleton, fuzzy PID controller, passive, swing",
author = "Jiankai Niu and Qiuzhi Song and Xiaoguang Wang",
year = "2013",
doi = "10.1109/ICEIEC.2013.6835483",
language = "English",
isbn = "9781467349314",
series = "ICEIEC 2013 - Proceedings of 2013 IEEE 4th International Conference on Electronics Information and Emergency Communication",
publisher = "IEEE Computer Society",
pages = "185--188",
booktitle = "ICEIEC 2013 - Proceedings of 2013 IEEE 4th International Conference on Electronics Information and Emergency Communication",
address = "United States",
note = "4th IEEE International Conference on Electronics Information and Emergency Communication, ICEIEC 2013 ; Conference date: 15-11-2013 Through 17-11-2013",
}