Energy Regeneration From Electromagnetic Induction by Human Dynamics for Lower Extremity Robotic Prostheses

被引:20
|
作者
Feng, Yanggang [1 ,2 ]
Mai, Jingeng [1 ,2 ]
Agrawal, Sunil K. [3 ]
Wang, Qining [1 ,2 ,4 ]
机构
[1] Peking Univ, Coll Engn, Dept Adv Mfg & Robot, Beijing 100871, Peoples R China
[2] Beijing Engn Res Ctr Intelligent Rehabil Engn, Beijing 100871, Peoples R China
[3] Columbia Univ, Dept Mech Engn, Robot & Rehabil ROAR Lab, New York, NY 10027 USA
[4] Peking Univ, Beijing Innovat Ctr Engn Sci & Adv Technol BIC ES, Beijing 100871, Peoples R China
基金
中国国家自然科学基金; 国家重点研发计划; 北京市自然科学基金;
关键词
Electromagnetic induction; energy regeneration; robotic Prosthesis; self-charging; GENERATING ELECTRICITY; WALKING; ANKLE; DESIGN; COST; WORK; GAIT;
D O I
10.1109/TRO.2020.2991969
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
Wearable robotic devices often need electrical energy. An interesting idea is to collect mechanical energy during walking and convert it into electrical energy to recharge these devices directly. In this article, we built a light-weight robotic prosthesis (1.3 kg) with the feature of self-charging. During stance phase, the prosthetic ankle joint with damping, is driven by human dynamics. The rotated ankle joint backdrives themotor, and themotor works as a generator according to the electromagnetic induction theory. Five subjects participated in experiments to verify the feasibility and five speeds walking were studied (0.7, 0.9, 1.1, and 1.3 m/s treadmill speeds and one self-selected outdoor walking speed). Experimental results demonstrate that the electrical regenerative energy per step is 1.53 +/- 0.29 J on average. Meanwhile, an average consumed energy per step of the robotic prosthesis is 4.64 +/- 0.15 J, which means 33 +/- 5% energy can be returned to the active prosthesis (battery, 24 V, 2.6 Ah).
引用
收藏
页码:1442 / 1451
页数:10
相关论文
共 17 条
  • [1] Biomechanical Energy Harvesting from Human Lower Extremity Gait: A Comparative Analysis
    Gurusamy, Nedunchelien
    Elamvazuthi, I.
    Yahya, Norashikin
    Parasuraman, S.
    Khan, M. K. A. Ahamed
    2017 IEEE 3RD INTERNATIONAL SYMPOSIUM IN ROBOTICS AND MANUFACTURING AUTOMATION (ROMA), 2017,
  • [2] Lower-Limb Prostheses and Exoskeletons With Energy Regeneration: Mechatronic Design and Optimization Review
    Laschowski, Brock
    McPhee, John
    Andrysek, Jan
    JOURNAL OF MECHANISMS AND ROBOTICS-TRANSACTIONS OF THE ASME, 2019, 11 (04):
  • [3] Simulation of Stand-to-Sit Biomechanics for Robotic Exoskeletons and Prostheses With Energy Regeneration
    Laschowski, Brokoslaw
    Razavian, Reza Sharif
    McPhee, John
    IEEE TRANSACTIONS ON MEDICAL ROBOTICS AND BIONICS, 2021, 3 (02): : 455 - 462
  • [4] Energy-Optimal Human Walking With Feedback-Controlled Robotic Prostheses: A Computational Study
    Handford, Matthew L.
    Srinivasan, Manoj
    IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2018, 26 (09) : 1773 - 1782
  • [5] Scavenging energy from the motion of human lower limbs via a piezoelectric energy harvester
    Fan, Kangqi
    Yu, Bo
    Zhu, Yingmin
    Liu, Zhaohui
    Wang, Liansong
    INTERNATIONAL JOURNAL OF MODERN PHYSICS B, 2017, 31 (07):
  • [6] An Energy-Efficient Torque Controller based on Passive Dynamics of Human Locomotion for A Robotic Transtibial Prosthesis
    Yuan, Kebin
    Wang, Qining
    Wang, Long
    2016 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2016, : 3543 - 3548
  • [7] A Survey of Wearable Lower Extremity Neurorehabilitation Exoskeleton: Sensing, Gait Dynamics, and Human-Robot Collaboration
    Li, Jie
    Gu, Xiao
    Qiu, Sen
    Zhou, Xu
    Cangelosi, Angelo
    Loo, Chu Kiong
    Liu, Xiaofeng
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024, 54 (06): : 3675 - 3693
  • [8] Capturing energy from ultra-low frequency vibrations and human motion through a monostable electromagnetic energy harvester
    Fan, Kangqi
    Cai, Meiling
    Liu, Haiyan
    Zhang, Yiwei
    ENERGY, 2019, 169 : 356 - 368
  • [9] Conceptual Design of Energy Efficient Lower Extremity Exoskeleton for Human Motion Enhancement and Medical Assistance
    Mir-Nasiri, Nazim
    MECHATRONICS AND ROBOTICS ENGINEERING FOR ADVANCED AND INTELLIGENT MANUFACTURING, 2017, : 289 - 301
  • [10] HARNESSING KINETIC ENERGY FROM HUMAN MOTIONS WITH A HIGH-EFFICIENCY WEARABLE ELECTROMAGNETIC ENERGY HARVESTER
    Peng, Yan
    Zhang, Dong
    Luo, Jun
    Xie, Shaorong
    Pu, Huayan
    Li, Zhongjie
    PROCEEDINGS OF THE ASME 2020 CONFERENCE ON SMART MATERIALS, ADAPTIVE STRUCTURES AND INTELLIGENT SYSTEMS (SMASIS2020), 2020,